<div><span style="font-size:24px;">About the Role</span></div><div><br></div><div><span style="font-size:11pt;">Yard Stick is looking for a Data Scientist to help us fight climate change with soil. This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.</span></div><div><br></div><div><span style="font-size:11pt;">On a typical day, our field team is out collecting data on farms. Raw data from spectrometers and other sensors get uploaded (once internet is available) and ingested by our data pipeline. Your job is to take this real-world messy data, process and normalize it, deal with partial collections and find inconsistencies. You’ll collaborate across the company to combine that data with lab analyses and other data sources to build statistical and machine learning models that estimate carbon stocks. Your work drives the incentives for climate-friendly agriculture.</span></div><div><br></div><div><span style="font-size:11pt;">Yard Stick is a remote-first company and the technology team is distributed around the U.S. This role will report directly to Yard Stick’s VP of Software, and will work under the technical leadership of the Head of Data Science. This is a dream job for someone who loves working with data, is curious about soil science, and wants to join a growing startup with literal planetary-scale impact.</span></div><div><br></div><div><span style="font-size:11pt;">We’d like to hire this person to start ASAP.</span></div><div><br></div><div><span style="font-size:24px;">About Yard Stick PBC</span></div><div><br></div><div><a href="https://www.useyardstick.com/" style="font-size:11pt;">Yard Stick</a><span style="font-size:11pt;"> is a remote-first climate tech startup with cofounders based in Boston, MA and Oakland, CA. We are on a mission to reverse climate change with agriculture. Scientists and farmers alike know that climate-friendly agricultural practices have the potential to remove atmospheric CO2 at gigaton/year scale. When these practices are adopted, more carbon is stored in soils, improving soil health and fighting climate change. But significant measurement challenges have held soil carbon efforts back - until now.</span></div><div><br></div><div><span style="font-size:11pt;">By reducing the cost of soil carbon measurement by 70-90%, Yard Stick will dramatically expand the opportunities for evidence-based regenerative practices to simultaneously improve ecosystem health, increase farmer income, and combat climate change. </span></div><div><br></div><div><span style="font-size:11pt;">Current soil carbon measurement technologies are slow, expensive, and cumbersome, relying on conventional soil cores and labs to quantify carbon stocks. In contrast, Yard Stick is fast and cheap - without sacrificing accuracy. As a testament to our technology’s potential, alongside our scientific collaborators, we were awarded </span><a href="https://www.businesswire.com/news/home/20220921005377/en/Yard-Stick-and-Partners-Secure-225M-in-USDA-Grants-for-Climate-Smart-Agriculture" style="font-size:11pt;">$18M across six USDA Climate-Smart Commodities projects</a><span style="font-size:11pt;">, and we have additional grant financing from </span><a href="https://www.prnewswire.com/news-releases/soil-health-institute-awarded-3-25-million-from-arpa-e-to-develop-soil-carbon-measurement-and-monitoring-system-301124040.html" style="font-size:11pt;">ARPA-E</a><span style="font-size:11pt;">, </span><a href="https://seedfund.nsf.gov/awardees/history/details/?company=yard-stick-pbc" style="font-size:11pt;">NSF</a><span style="font-size:11pt;">, CDFA, and other discerning grant-makers. We’ve also raised another nearly $18M from top climate VCs, including Toyota Climate Venture Fund, Lowercarbon Capital, Breakthrough Energy Ventures (Bill Gates’ climate fund), Microsoft Climate Innovation Fund, The Nature Conservancy, Extania, Pillar VC, MCJ Collective… the list goes on!</span></div><div><br></div><div><span style="font-size:11pt;">For more background, check out some coverage of Yard Stick in </span><a href="https://techcrunch.com/2023/08/17/yard-stick-measure-soil-carbon/?ref=ctvc.co&amp;guccounter=1" style="font-size:11pt;">TechCrunch</a><span style="font-size:11pt;">, </span><a href="https://www.fastcompany.com/90796487/is-regenerative-agriculture-the-future-of-farming-or-the-next-greenwashing-fad" style="font-size:11pt;">Fast Company</a><span style="font-size:11pt;">, and </span><a href="https://agfundernews.com/yard-stick-lands-18m-to-equip-agrifood-with-faster-cheaper-soil-carbon-measurement-tools" style="font-size:11pt;">AgFunder</a><span style="font-size:11pt;">.</span></div><div><br></div><div><span style="font-size:11pt;">We offer competitive salary and equity (benchmarked to 75th percentile of high-growth US tech compensation), health/dental/vision insurance, a 401k, and home-office reimbursements. We have many team members with young families and have a strong track record of creative, flexible approaches to hours and communication expectations which let folks feel great about their commitments both to Yard Stick and their lives outside of work.</span></div><div><br></div><div><span style="font-size:11pt;">We’re also a </span><a href="https://www.helloresolve.com/analysis/public-benefit-corporations-what-they-are-and-why-you-should-care/" style="font-size:11pt;">PBC</a><span style="font-size:11pt;">, or public benefit corporation, which is an alternative corporate structure which protects our ability to prioritize climate impact over profits if the two are in conflict. You can read more about PBCs in </span><a href="https://www.protocol.com/climate/public-benefit-corporations-climate-esg" style="font-size:11pt;">this article</a><span style="font-size:11pt;"> which also features Yard Stick.</span></div><br><br><h3>Responsibilities</h3><ul><li>Develop processes to transform, visualize, and analyze information from soil spectroscopy, lab results, plus geospatial and soil data sources</li><li>Understand and apply various statistical and machine learning models of soil properties</li><li>Partner with our soil science group to collect and evaluate data about soil samples, soil organic carbon, and geospatial data</li><li>Coordinate with our hardware team to improve data collection with our novel spectral soil probe</li><li>Collaborate with the greater Tech team to experiment with novel ways of extracting actionable data from large soil data sets</li><li>Critically engage with the scientific literature to identify state-of-the-art approaches worth pursuing</li><li>Analyze and describe your results and findings to tell a story with data to non-technical audiences</li><li>Work with the software team to build, operate, automate, and scale these processes as Yard Stick grows</li></ul><h3>Qualifications</h3><ul><li>2+ years of relevant data science work experience</li><li>Ability to take a dataset and a question, and independently and/or collaboratively devise thoughtful, defensible approaches to answering that question</li><li>Experience with data wrangling and analysis in SQL, Python, pandas, scipy, sklearn, etc.</li><li>Experience assessing data quality, designing experiments to understand mechanisms underlying data behaviors, and devising solutions for data improvement</li><li>Background in statistics and modeling techniques (Linear Regression, Partial Least Squares, Random Forest, Neural Networks (nice to have), etc.) </li><li>Ability to analyze and draw conclusions from modeling results</li><li>Work experience interfacing with a software team that is producing professional, production quality software</li><li>Passion for climate impact!</li><li>Enthusiasm to learn, teach, and collaborate</li></ul><h3>Bonus Qualifications</h3><ul><li>Background in applied math/statistics with experience in natural science domains OR background in natural science with modeling/computational experience</li><li>Experience with soil science, carbon modeling, and/or soil mapping</li><li>Experience with spectroscopy or other signal processing techniques</li><li>Experience with geospatial data, mapping, pathing, and public sources of such data</li><li>Familiarity with Jupyter and/or DeepNote</li><li>Work experience producing professional, production quality software</li><li>Work experience collaborating with a hardware team on a hardware product</li></ul><br><div><span style="font-size:24px;">Our Commitment to Diversity, Equity, and Inclusion</span></div><div><br></div><div><span style="font-size:11pt;">Yard Stick’s impact goals go well beyond climate science. Why? Our company operates primarily in the US agricultural sector, which is predicated on centuries of mass land theft and disenfranchisement of Native and Black people. This harm continues today. If we’re going to work in this sector, we need to leave it better than we found it.</span></div><div><br></div><div><span style="font-size:11pt;">Consistent with our core value of “</span><a href="https://docs.google.com/document/d/1RhQub_w6f-N6d05pgYsCyDC8wNOvVwCvSALg6Wh-itw/edit?usp=sharing" style="font-size:11pt;">Pursue Justice</a><span style="font-size:11pt;">,” we speak up about these issues, and we support emerging solutions and relevant policy efforts such as </span><a href="https://www.govtrack.us/congress/bills/117/hr40" style="font-size:11pt;">H.R.40</a><span style="font-size:11pt;"> and </span><a href="https://www.govtrack.us/congress/bills/117/s300" style="font-size:11pt;">S.300</a><span style="font-size:11pt;">. We also </span><a href="https://myclimatejourney.substack.com/p/the-growing-climate-solutions-act" style="font-size:11pt;">publicly highlight the risk of further racial discrimination</a><span style="font-size:11pt;"> in emerging agricultural legislation like the Growing Climate Solutions Act and in press coverage ensure that the discrimination in past and present US agriculture is part of the conversation right alongside more typical topics like who our customers are, or how our tech works.</span></div><div><br></div><div><span style="font-size:11pt;">Regarding hiring and culture, we work to create a work environment where everyone feels confident sharing their ideas, problem-solving happens openly and collaboratively, and mistake-making is welcomed. We’ve recently organized lunchtime all-team discussions on issues like </span><a href="https://floridafarmworkers.org/articles/documentary-the-fields-of-immokalee/" style="font-size:11pt;">labor equity in Florida produce</a><span style="font-size:11pt;">, </span><a href="https://www.thenation.com/article/society/black-farmers-pigford-debt/" style="font-size:11pt;">Pigford v. Glickman</a><span style="font-size:11pt;"> (the largest US civil rights settlement in history), and other contemporary moral concerns in agriculture. When hiring, we standardize our interview process and questions to reduce “likeability” bias, benchmark salaries against industry databases to reduce negotiation, and utilize tools like the </span><a href="http://gender-decoder.katmatfield.com" style="font-size:11pt;">Gender Decoder</a><span style="font-size:11pt;">. Climate change is arguably the most complex challenge ever faced by humanity - we need all of humanity activated to fight back, and that motivates us to build a diverse team.</span></div>

Quantify soil carbon stocks easily and affordably with Yard Stick's measurement solutions, enabling gigaton-scale agricultural carbon sequestration

Data Scientist

<div><div style="margin:0px;padding:0px;color:rgb(85, 86, 89);font-family:Meta , sans-serif;font-size:14px;font-style:normal;font-weight:400;letter-spacing:normal;text-align:start;white-space:pre-wrap;"><strong style="font-weight:bold;">Culture</strong></div><div style="margin:0px;padding:0px;color:rgb(85, 86, 89);font-family:Meta , sans-serif;font-size:14px;font-style:normal;font-weight:400;letter-spacing:normal;text-align:start;white-space:pre-wrap;">At ClimateAi we are driven by a united passion to tackle climate change. We believe in a culture of absolute truth and transparency, where feedback is considered an opportunity for us to contribute to each other's personal and professional growth. We recognize the value of diversity and are an equal-opportunity employer.</div><div style="margin:0px;padding:0px;color:rgb(85, 86, 89);font-family:Meta , sans-serif;font-size:14px;font-style:normal;font-weight:400;letter-spacing:normal;text-align:start;white-space:pre-wrap;">We hire people who are collaborative, adaptable, communicate well, and love to learn. Expect to give and receive constructive criticism, as we are constantly seeking to push the innovation frontier while simultaneously growing as individuals and as a team. </div></div><p><strong>What you’ll do</strong></p><ul><li>Utilizing remote sensing and GIS technologies to analyze and interpret geographical data. This includes processing and analyzing data from various remote sensing sources such as LandSat, MODIS, Sentinel, SMAP, GRACE-FO, OPERA, and others.</li><li>Collaborating with a team to develop and implement a comprehensive workflow. This includes coordinating with other team members to ensure the successful completion of the project.</li><li>Development of near real-time estimates of flood hazard in an operational context.</li><li>Developing and implementing machine learning algorithms for both the mapping of historical flood impacts as well as predictive modeling.</li><li>Producing long-term flood hazard projections using proprietary CAi long-term climate projections.</li></ul><p> </p><p><strong>Qualifications:</strong></p><ul><li>An Earth Systems science degree (e.g., hydrology, climate, geomorphology, geography). A Master’s degree or PhD is preferred.</li><li>Extensive experience with remote sensing and GIS technologies. This includes experience with processing and analyzing data from various remote sensing sources.</li><li>Proven experience in developing and implementing machine learning algorithms. This includes experience with various machine learning techniques such as regression, classification, clustering, and deep learning.</li><li>Strong problem-solving skills and the ability to work with complex datasets. This includes experience with data cleaning, data transformation, and data visualization.</li><li>Excellent communication and teamwork skills. This includes the ability to effectively communicate complex technical concepts to non-technical team members.</li><li>Experience with a wide variety of geospatial data, including LULC, soils, DEMs and topographically derived metrics.</li></ul><p> </p><p><strong>Preferred Skills:</strong></p><ul><li>Knowledge of Python (familiarity with Julia, R, or JavaScript is an asset)</li><li>Experience with collaborative data development (familiarity with AWS, Jupyter, and GitHub is an asset)</li><li>Experience manipulating geospatial data in Python (or Julia, R, or JavaScript). Familiarity with QGIS, Whitebox, or GRASS is an asset.</li><li>Experience communicating complex findings to a non-technical audience </li></ul><div><p><strong>What We Offer You</strong></p><ul style="margin:0px 0px 0px 2em;padding:0px;color:rgb(85, 86, 89);font-family:Meta , sans-serif;font-size:14px;font-style:normal;font-weight:400;letter-spacing:normal;text-align:start;white-space:pre-wrap;"><li style="margin:0px;padding:0px;">Competitive salary and equity</li><li style="margin:0px;padding:0px;">Medical, dental, vision benefits</li><li style="margin:0px;padding:0px;">Learning budget per year</li><li style="margin:0px;padding:0px;">Unlimited PTO policy with minimum time off requirements</li><li style="margin:0px;padding:0px;">Flexible working hours on many teams</li><li style="margin:0px;padding:0px;">Culture of diversity and inclusion including employee resource groups</li><li style="margin:0px;padding:0px;">Work with smart, curious, passionate people and be part of the mission to help the world</li></ul></div>

Accelerating climate resilience in food, water, and energy

Remote Sensing Data Scientist

<h3><strong>About us:</strong></h3><p style="">Arbor is building the digital energy platform for modern consumers.  We automatically lower our users’ home energy costs on an ongoing basis, while providing personalized insights and recommendations for energy products and services to save even more.  We are backed by leading VCs, and our team has founded climate tech companies with over $2B in enterprise value. If you are looking for a rapidly scaling opportunity in consumer climate tech, let’s talk!</p><p style=""></p><h3><strong>Role Description:</strong></h3><p style="">Arbor is looking for a Senior Data Scientist to join our team to supercharge the development of our data products. Data about consumers’ energy usage is fundamental to our product - we are working to bring that information to our customers in ways that help them make smarter decisions about managing their energy consumption as well as to foster understanding and engagement with their own usage behaviors. The Senior Data Scientist will be foundational to using these broad sets of data to craft those products and the user experience around them.</p><p style=""></p><h3><strong>Responsibilities:</strong></h3><ul style=""><li><p style="">Develop data products &amp; models to derive insights from raw energy consumption and device data that create exceptional energy user experiences</p></li><li><p style="">Deploy models at scale as part of our application following development best practices</p></li><li><p style="">Measure and evaluate the performance of product features post-launch to inform future product growth</p></li><li><p style="">Build an understanding of consumers’ needs with respect to their energy consumption and use this knowledge to devise data products that solve their needs</p></li><li><p style="">Identify and articulate business priorities and opportunities to guide new product and feature enhancements</p></li><li><p style="">Work across the organization to prioritize development and implementation of potential customer-facing features to enhance our product’s capabilities</p></li><li><p style="">Work with raw energy consumption and device data - ingest, organize, and transform this data into structures that enable downstream applications</p></li></ul><h3><strong>Requirements:</strong></h3><ul style=""><li><p style="">Ability to go the full data cycle: source data inputs, build and tune a model/data product, deploy that model into a product, and measure impact to inform future development</p></li><li><p style="">Demonstrated experience implementing statistical and machine learning models in a customer facing application with proven business impact</p></li><li><p style="">High levels of competency with Python &amp; SQL</p></li><li><p style="">Familiarity with a dbt/Snowflake data stack</p></li><li><p style="">Top notch communication and interpersonal skills</p></li><li><p style="">High level problem solving skills + ability to troubleshoot your way out of ambiguous situations</p><p style=""></p></li></ul><p style="">If you are passionate about solving complex problems, working cross-functionally at a fast growing company, and delighting customers, we encourage you to apply for this exciting opportunity.</p><h3><strong>Location &amp; Work Environment:</strong></h3><p style="">Arbor is a fully remote company with hub locations in Washington, DC and Boston, MA. At Arbor, we deeply value the relationships and camaraderie among our team. Therefore, we periodically gather at hubs for special occasions such as team events or when welcoming new members. Employees should plan to travel to these hubs for team events.</p><h3><strong>Why you should join our team:</strong></h3><p style="">By joining Arbor, you’ll be a founding member of a fast-growing company in the climate tech and energy space. As you help us grow, you’ll be directly helping our customers save money and encouraging more environmentally sustainable energy choices.</p><h3><strong>We look forward to hearing from you!</strong></h3><p style="">At Arbor, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Arbor, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.</p><p style=""></p>

Building the digital energy platform for modern consumers

Senior Data Scientist

<div>StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight®. Acquired by Jacobs as a subsidiary in February 2022, StreetLight continues to provide innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.</div><div><br></div><div><b>StreetLight Data</b> is seeking a creative, versatile, and motivated <b>Senior Data Scientist</b> to be part of our growing team. This team member will lead data science projects to develop exciting new algorithms for our product, as well as help productize those algorithms into our scalable StreetLight InSight® analytics platform.  This position reports to the Director of Data Science.</div><div> </div><div><b>Location</b>: Remote within the United States with a preference of West Coast (Pacific time)</div><div><br></div><div><b>What You'll Do: </b></div><div>●<span style="font-size:7pt;">       </span>Design algorithms to infer key transportation patterns from various data sources</div><div>●<span style="font-size:7pt;">       </span>Research and implement suitable strategies (e.g. regression models, ML models, etc.) for solving data science problems</div><div>●<span style="font-size:7pt;">       </span>Find and build real-world data sets for training various models and doing quality checks</div><div>●<span style="font-size:7pt;">       </span>Productize data science algorithms within the StreetLight InSight® platform, in collaboration with the Application Engineering team</div><div>●<span style="font-size:7pt;">       </span>Create visualizations and dashboards to help tell stories with data</div><div>●<span style="font-size:7pt;">       </span>Define and implement customized and/or cutting-edge solutions for customers</div><div> </div><div><b>What You'll Need: </b></div><div>●<span style="font-size:7pt;">       </span>BS/MS in Mathematics, Computer Science or an Engineering discipline from a top university.  Alternatively, a PhD focused on quantitative research and discovering insights from data is acceptable in lieu of a BS/MS plus experience.</div><div>●<span style="font-size:7pt;">       </span>3-5 years of experience in <b>data science and/or statistics</b> using a coding language (<b>Python strongly preferred</b>)</div><div>●<span style="font-size:7pt;">       </span>2+ years of experience in<b> SQL and relational databases (BigQuery or PostgreSQL preferred)</b>, and good understanding of relational concepts</div><div>●<span style="font-size:7pt;">       </span>Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.)</div><div>●<span style="font-size:7pt;">       </span>Strong data analysis skills, knowing what can/cannot be possible, and ability to visualize data in the best way possible</div><div>●<span style="font-size:7pt;">       </span>Good communication skills - written, visual (presentations), and verbal</div><div>●<span style="font-size:7pt;">       </span>Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms</div><div>●<span style="font-size:7pt;">       </span>Quick learner, and a strong team player</div><div> </div><div><b>Preferred:</b></div><div>●<span style="font-size:7pt;">       </span>Geo-spatial skills are a plus.</div><div>●<span style="font-size:7pt;">       </span>Knowledge of transportation data / industry is a plus.</div><div><b> </b></div><div>Jacobs’ health and welfare benefits are designed to invest in you and in the things you care about. Your health. Your well-being. Your security. Your future. Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, and, if eligible, a deferred compensation plan and Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid holidays, plus floating holidays and caregiver leave. Hired applicants will be able to purchase company stock and have the opportunity to receive a performance discretionary bonus.</div><div><br></div><div>The base salary range for this position is <b>$130-155k USD. </b>Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.</div><br><br><br><div>StreetLight Data is an equal opportunity/affirmative action employer. StreetLight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</div>

Unlocking Smarter Transportation: StreetLight combines Big Data and machine learning to revolutionize transportation decision-making and drive positive change.

Senior Data Scientist (analytics) - REMOTE

<div><span style="font-size: 11pt;">At Stable, you&rsquo;ll build the foundation of EV charging businesses worldwide. Our software is already used by some of the biggest EV charging operators and developers in the U.S. to deploy billions of dollars in EV infrastructure, and we&rsquo;re just getting started.</span></div>
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<div><span style="font-size: 11pt;">You&rsquo;ll work alongside a cast of software engineers, machine learning specialists, data scientists, and problem solvers to transform complex consumer behavior, energy pricing, and incentives into actionable insights that propel charging businesses toward greater scale and sustainability.</span></div>
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<div><span style="font-size: 11pt;">We believe that the widespread adoption of electric vehicles is crucial for a greener and more sustainable future, and by facilitating the growth and success of the EV charging ecosystem, we can propel the world towards a sustainable transportation revolution.</span></div>
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<div><span style="font-size: 11pt;">Our flexible working culture allows everyone to set their own schedule and location to best suit their working style around a core window of overlapping hours. That means that we&rsquo;re primarily remote, but we also offer co-working access and intentionally create in-person moments to foster collaboration and connection.</span></div>
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<div><span style="font-size: 11pt;">We also have great healthcare plans, 401k, parental leave, and a host of other benefits. You can see the full list here: </span><a href="https://stableauto.notion.site/Stable-Benefits-1361f8651c684a3687d2a1d3268b792f">Stable Benefits</a>.</div>
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<div><span style="font-size: 11pt;">We are looking for a data scientist to help us build and scale our breakthrough EV infrastructure intelligence platform. </span></div>
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<div><span style="font-size: 11pt;">You will help us navigate the complex challenges of building and managing the tools needed to help charging companies deploy and operate millions of EV chargers across the world. The clock is ticking on climate change, and with hundreds of thousands of EV chargers needed in the next few years, Stable's platform will be essential to deploying them smarter and faster.&nbsp;</span></div>
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<div><span style="font-size: 11pt;">You are a data scientist but you will have the opportunity to tackle large and varied problems outside of your role as we scale our business.</span></div>
<p><br /><br /></p>
<h3>Your responsibilities</h3>
<ul>
<li>Work closely with Stable&rsquo;s data science team to build powerful machine learning models to predict &amp; improve EV charging station performance.</li>
<li>Build simulations to forecast future trends and understand operational dynamics at EV charging stations.</li>
<li>Design and run experiments to optimize charging station operations and revenue.</li>
<li>Design and implement data pipelines for model development and performance monitoring.</li>
<li>Explore dynamic datasets and craft analyses and visualizations to elegantly communicate complex interactions in simple terms.&nbsp;&nbsp;</li>
<li>Understand customer needs and identify opportunities for innovation.</li>
<li>Build and apply models to guide product direction with evidence and data.</li>
<li>Lead the charge. Some decisions are truly marginal, and we trust you to make the best decisions you can. Expect autonomy and full support when you need it.</li>
</ul>
<h3>Your background</h3>
<ul>
<li>You want to join a fast-paced, early-stage startup, working to clear a path for all-electric transportation.</li>
<li>You are curious and excited to tackle hard problems.</li>
<li>You are able to communicate complex ideas simply.</li>
<li>You can quickly iterate, navigate uncertainty, and identify when things are not working.</li>
<li>You are a kind, humble, generous collaborator.</li>
<li>Bachelors or Masters in Computer Science, Mathematics, Engineering, or a related field.</li>
<li>At least 2 years of work experience in machine learning or data science, or 4 years if no Masters degree.</li>
<li>Experience contributing to production software code.</li>
<li>Experience processing and visualizing geospatial data, designing and running causal inference experiments, building predictive models, and/or building simulations.</li>
<li>Familiarity with Python, data science libraries, RESTful APIs, and cloud infrastructure (GCS, AWS).</li>
<li>Bonus: You have prior experience in transportation, urban systems, electrical grids, or other related domains that take care of large spatial datasets and/or deal with the interaction between the built environment and real-time market pricing.</li>
</ul>
<p>&nbsp;</p>
<div>Stable is an equal-opportunity employer. Whatever it is that makes you, well, you--whether it be race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or anything else&mdash;we&rsquo;d love to hear from you. And we welcome applicants based anywhere in the U.S.</div>

Mission control for high-performing EV charging stations. With our data-driven insights, we help you envision and build tomorrow’s vital infrastructure.

<div><span style="font-size:11pt;">Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. </span></div><div><br></div><div><span style="font-size:11pt;">Gridmatic is looking for a data scientist to join the engineering team, and drive the collection, preprocessing, and analysis of data in support of our development efforts. This role will also support our go-to-market efforts by conducting customer simulations, analyzing pricing options, doing risk assessments, and running reports. </span></div><div><span style="font-size:11pt;">This role is ideal for the candidate who has strong analytical and programming skills and enjoys wearing multiple hats. Knowledge of electricity markets and experience at high-growth startups are pluses. </span></div><br><br><h3>What you might work on:</h3><ul><li>Work as a data strategist, collaborating with engineering to integrate datasets to support Gridmatic growth.</li><li>Fetch and transform data from various domestic and international energy markets.</li><li>Evaluate and backtest various risk policies across Gridmatic's lines of business.</li><li>Set up simulations and pricing analysis for new customers.</li><li>Present information using data visualization techniques.</li><li>Contribute production level code to automate analyses.</li><li>Analyze electricity market data to develop industry reports and white papers.</li></ul><h3>You might be a good fit if you:</h3><ul><li>3 - 5 years’ experience as a Data Scientist or Data Analyst.</li><li>Understanding of machine learning and experience working with ML engineers.</li><li>Experience with querying, data quality, analytics, and visualization.</li><li>Coding experience (Python). Experience in tool development and systems automation.</li><li>Strong math skills (e.g. statistics, algebra).Problem-solving aptitude.</li><li>Excellent communication and presentation skills.</li><li>BSc/BA in Computer Science, Math, Statistics, Engineering, Economics, or relevant field; graduate degree in Data Science or other quantitative field is preferred.</li><li>Comfort working in a research-oriented group with several ongoing concurrent projects as well as business and go-to-market efforts. </li><li>Knowledge of electricity markets is a strong plus. </li></ul><br><div><span style="font-size:17pt;">FAQ</span></div><div><br></div><div><b style="font-size:11pt;">What’s your policy on remote work?</b></div><div><span style="font-size:11pt;">We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.</span></div><div><br></div><div><b style="font-size:11pt;">How does the interview process work?</b></div><div><span style="font-size:11pt;">We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.</span></div><div><br></div><div>Join our team and make a difference! Click below or email us at careers@gridmatic.com. </div>

Accelerating the clean energy transition with data-driven ClimateTech expertise and a profitably growing startup culture.

<div><span style="text-decoration:underline;"><strong>Join us on the journey to get to net zero</strong></span></div><div> </div><div>At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action.</div><div> </div><div><strong>Our Mission</strong></div><div>Enable organizations to reduce, remove, and utilize their emissions with carbon science</div><div>We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform.</div><div> </div><div><strong>Global citizens with global impact</strong></div><div>Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and 10+ states in the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA and Oakland, CA.</div><div> </div><div><strong>Diverse backgrounds bring diverse perspectives</strong></div><div>We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed.</div><p><strong>Overview </strong></p><p>As the Director of Data Science at Carbon Direct, your role is at the heart of technological innovation in carbon management. Leading the integration of cutting-edge data science, machine learning, and AI into our products, you will drive advancements in decarbonization. Your expertise will not only enhance our capabilities but also open new avenues for impactful carbon management solutions.  Your role is pivotal in merging top-tier information technology with groundbreaking concepts. Collaborating with our leading science team, you will play a key role in developing digital technologies that are at the forefront of decarbonization possibilities, delivering tools that are both powerful and user-friendly.</p><p><strong>Responsibilities </strong></p><ul><li>Lead the Platform Data Team, expanding platform capabilities by leveraging Data Science, Machine Learning, and AI to provide innovative decarbonization solutions.</li><li>Partner with members of the Carbon Data Science team to develop, integrate, and deploy cutting-edge scientific models into our decarbonization platform.</li><li>Drive the platform data science life cycle, enhancing our product offering, and enabling our clients to decarbonize effectively and efficiently.</li><li>Lead data engineering efforts and implement data operations processes, championing data quality, consistency, accessibility, and usability.</li><li>Draw from your experience to make timely and effective technical decisions for tools and solutions (e.g., build vs. buy). </li><li>Lead cross-functional data projects, raising the visibility of impacts, keeping contributors aligned, and effectively communicating statuses with stakeholders.</li></ul><p><strong>Qualifications</strong> </p><ul><li>Extensive data science experience.</li><ul><li>Ideally, has experience applying a wide range of math modeling, ML concepts, and AI algorithms to solving business problems.</li><li>Embodies thought leadership, leveraging data science methodologies to pioneer groundbreaking solutions via software.</li></ul><li>Experience leading and managing cross-functional data science projects.</li><li>Experience working with software development teams. </li><li>Proficiency in Python and R; familiar with ML libraries (e.g. pandas, TensorFlow…)</li><li>Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud.</li><li>Familiarity with big data technologies (e.g., BigQuery, Hadoop, Spark) and data storage and retrieval paradigms.</li><li>Comfortable managing hybrid-remote, multidisciplinary teams staffed by data analysts, data scientists, and/or data engineers. </li><li>Excellent communication skills and the ability to translate advanced concepts into terms that non-technical or non-expert stakeholders can readily understand. </li><li>Background in climate and carbon management is a plus.</li><li>Experience with data governance projects is a plus.</li></ul><div><p><strong>Salary</strong></p><p>$170,000-$230,000</p><div><strong>Benefits</strong></div><div>While we love our work, our lives aren’t defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve.</div><div> </div><div><strong>Our U.S. benefits* include:</strong></div><div><ul><li>Comprehensive nationwide medical, dental, and vision coverage. <a href="https://app.rippling.com/benefits/preview/v4awgaedwor7yqpb">See a preview of our coverage here</a>.</li><li>Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's</li><li>16 weeks of fully paid parental and family leave with no tenure requirement</li><li>Remote-friendly work culture with annual company-wide retreats</li><li>Reimbursement for your work-from-home setup and monthly work-from-home stipend</li></ul></div><div><em>*Please note that the benefits described apply to <a href="http://u.s.-based/">U.S.-based</a> employees only. For our international employees, our benefits package varies by each country and its statutory requirements.</em></div></div><div> </div><div><strong>Equal Opportunity Employer</strong></div><div>Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.</div>

Carbon Direct is decarbonizing the global economy. 

Director of Data Science

<p>EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.</p><p>In order to transform that data into valuable solutions for the energy industry, EnergyHub seeks to hire a Senior Data Analyst to join the team in developing best-in-class visualizations and reporting systems for massive amounts of data from smart devices being managed by us and our clients with the goal of grid decarbonization. Your work will enable both internal and external users to develop a deep understanding of how EnergyHub’s software platform solves real-world energy challenges by building and managing <a href="https://liftoff.energy.gov/wp-content/uploads/2023/10/LIFTOFF_DOE_VVP_10062023_v4.pdf">virtual power plants</a> (VPPs). The ideal candidate for this role is passionate about data analytics and seeks to apply their skills towards solving the climate crisis.</p><p><strong>Main Responsibilities</strong></p><ul><li>You will help further develop the Business Intelligence (BI) / data analytics system within EnergyHub’s platform, including designing and building dashboards and reports and developing and maintaining data models and data quality procedures to ensure accuracy and timeliness of data.</li><li>You will collaborate with engineering teams, data scientists, product managers and client success managers to help develop business logic and detailed system requirements and to help identify and answer research questions of interest to the company and our clients.</li><li>You will become an expert in smart device data and the aggregation of such into VPPs; including that of electric vehicles, smart thermostats, EV chargers, batteries, solar inverters, etc.</li><li>Other duties as assigned</li></ul><p><strong>Key Skills and Experience</strong></p><ul><li>You are passionate about finding valuable insights in large, complex datasets</li><li>3+ years of experience as a data analyst and have previously worked in a multi-person business intelligence team</li><li>When you can’t find the data that you need, you are creative enough to infer and/or generate the data needed from other information that is available</li><li>You are skilled at developing analytics dashboards and data visualization that are useful and visually compelling.</li><li>You have an understanding of and can develop basic statistical models and perform complex data analysis to surface insights or inform decisions.</li><li>You have experience developing automated reporting systems with business intelligence tools</li><li>You enjoy communicating with others and and developing real relationships with colleagues, clients and external partners</li><li>You are excited about the opportunities of working with very large datasets from disparate sources</li><li>You have the ability to describe your ideal analytics schema to data engineering team members and work with them to improve a data warehouse</li><li>You are share our vision of a carbon-free distributed energy future</li><li>You are passionate about empowering users through timely, accurate and actionable data</li><li>You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R)</li><li>You have a deep understanding of data warehouse architecture </li></ul><p><strong>Preferred Skills and Experience</strong></p><ul><li>Extensive experience with dbt / Snowflake / SQL</li><li>A strong background in mathematics and statistics in order to provide support to clients who need to understand complex statistics and to collaborate with data scientists who will use the analytics platform for statistical analysis</li></ul><p>The salary range for this position is $120,000 - $150,000. Base pay offered may vary depending on location, job-related knowledge, skills and experience.</p><h2><strong>Why work for EnergyHub?</strong></h2><ul><li><strong>Collaborate with outstanding people</strong>: Our employees work hard, do great work, and enjoy collaborating and learning from each other. </li><li><strong>Make an immediate impact</strong>: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!</li><li><strong>Gain well rounded experience</strong>: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.</li><li><strong>Work with the latest technologies</strong>: You’ll gain exposure to a broad spectrum of  IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs. </li><li><strong>Be part of something important:</strong> Help create the future of how energy is produced and consumed. Make a positive impact on our climate.</li><li><strong>Focus on fun</strong>: EnergyHub places high value on our team culture. Happy hours and holiday parties are important to us, but what’s also important is how our employees feel every single day. </li></ul><h2><strong>Company Information</strong></h2><p>EnergyHub is a growing enterprise software company that works with the most forward-thinking companies in smart energy. Our platform lets consumers turn their smart thermostats, electric cars, water heaters, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. We work on technology that already provides energy and cost savings to millions of people through partnerships with the most innovative companies in the Internet of Things.</p><h2><strong>Company Benefits</strong></h2><p>EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program.</p><p><strong>EnergyHub is an Equal Opportunity Employer</strong></p><p>In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.</p><p><strong>Notice To Third Party Agencies:</strong></p><p>EnergyHub understands the value of professional recruiting services.  However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.</p>

Transforming complexity at the grid edge into reliable resources for a clean, distributed energy future.

Senior Data Analyst

<div><h3>About our Company</h3><p><span style="font-weight:400;">Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain. Our mission is to accelerate our collective path to climate, energy, and societal equilibriums. Our goal is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry.</span></p><p><span style="font-weight:400;">New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We design our commercial strategies, operational approaches, and product suites so as to best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines. These capabilities are enabled by our progressively modern s</span><span style="font-weight:400;">oftware stack and engineering best practices, which in turn provide the scalable platform we need to put a serious dent in carbon emissions. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.</span></p></div><h3><strong>What we are looking for</strong></h3><p>We are looking for <strong>Software Engineers </strong>to contribute across our end-to-end platform. Our software engineers work across cloud infrastructure and distributed systems, data engineering, ML engineering and MLOps, simulation ecosystems, complex workflow orchestration, microservices mesh, application development and security. Our software engineers supercharge design and delivery of our product development activities while helping to build and lead an engineering capability that is the core of the company’s strategy and identity. If you want to fight climate change and love modern tech stacks, clarity of product vision, and exceptional colleagues, this role is for you! </p><p>In the near-term, you will work with other software engineers, data engineers, infrastructure engineers, ML engineers, data scientists, researchers and product managers to execute our ML- and AI-infused product development plan en route to growing our company. Have a specific interest in a particular part of our technical stack? No problem...we’re looking for technical leaders across our ecosystem.</p><p>In the medium-term, you will cultivate our software engineering function by nurturing a culture of experimentation and delivery. You will design, write and optimize software to support our end-to-end product development ambitions, helping to build the core of our competitive differentiation. </p><h3><strong>What you will do</strong></h3><ul><li>Lead the design, development, testing, delivery and support of <strong>software systems</strong> across our technical stack that drive our end-to-end product development ambitions.<ul><li><span style="text-decoration:underline;">Cloud and distributed systems development</span> - contribute to building and maintaining our cloud-native platform and infrastructure; K8s, cluster management, linux containers, etc.</li><li><span style="text-decoration:underline;">Data Platform and Engineering</span> - our use cases are varied and so are our data engineering needs. From stream, batch, pub-sub, queuing, state stores, virtualization, complex data models and closed-loop pipelines, we’ve got a little bit of everything.</li><li><span style="text-decoration:underline;">ML Engineering and MLOps</span> - we aim to infuse EVERY business process with ML and AI, relying on closed-loop decision-making at every valuable juncture.</li><li><span style="text-decoration:underline;">Simulation ecosystem</span> - our ML- and AI-centric workflows need training and testing.</li><li><span style="text-decoration:underline;">Workflow orchestration</span> - we live in the land of complex, autonomous, multi-step sequential workflows operating in a distributed runtime with low latency requirements.</li><li><span style="text-decoration:underline;">Service mesh</span> - we rely heavily on reuse of core microservices to keep application development productivity high, which requires thoughtful service mesh management.</li><li><span style="text-decoration:underline;">Application development</span> - we’ve just started designing and developing across our anchor product suites, each focused on leveraging a common platform and service core. </li><li><span style="text-decoration:underline;">DevSecOps</span> - security is inherently embedded within our development and operations practices, and we leverage bespoke security techniques for some unique exposures. </li></ul></li><li>Assist in <strong>product development</strong> strategy, design, planning and productivity.<ul><li>Contribute your unique technical, user, and market knowledge to product strategy.</li><li>Contribute to product and architectural design.</li><li>Contribute to product roadmapping, resource planning and sprint management.</li><li>Contribute to product development productivity improvements, including best practices, technical documentation, code reviews and automation / utility / abstraction packages.</li></ul></li><li>Serve as a member of our <strong>technical team</strong> across both engineering and research.<ul><li>Collaborate asynchronously with engineers, researchers and product managers across time zones to design, build and ship code.</li><li>Contribute to technical strategy and planning across the company.</li><li>Represent Equilibrium in external venues, including presenting work at conferences and contributing to open-source projects.</li></ul></li></ul><h3><strong>The minimum qualifications you’ll need</strong></h3><ul><li>Passion for clean energy and fighting climate change</li><li>BS/Master's degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering) or equivalent practical experience.</li><li>Software development experience in Python, Go, Julia, C, or Rust.</li><li>8 years of relevant work experience.</li></ul><h3><strong>Nice to have additional skills</strong></h3><ul><li>PhD degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering).</li><li>8 years of relevant work experience, including expert software engineering fundamentals and experience building software to support ML and AI pipelines, and associated data structures.</li><li>Expertise in Go, Python, C, Rust, or Julia. <span style="font-weight:400;">Experience with orchestration tools like Temporal.</span></li><li>Advanced proficiency across a range of data engineering tools (ELT, streaming, pub-sub, relational DBs, object DBs, GraphDBs, etc.).</li><li>Deep expertise across any one of our tech stack domains: cloud infrastructure, data platform and engineering, IOT, MLOps and ML pipelines, simulation ecosystems, workflow orchestration, microservices orchestration, and/or application development.  </li><li>Familiarity supporting and releasing ML/AI models that drive operational workflows (e.g., models that run and produce new inferences every hour of the day).</li><li>Proactive communicator who can translate product design specs into organized code.</li><li>Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy.</li><li>Demonstrated proactivity and self-direction. Willingness to teach as well as learn.</li><li>Excellent team collaboration skills and collaboration-first mentality.</li><li>Experience with trading systems. </li></ul><div><h3><strong>Not sure this is the right role for you?</strong></h3><p><span style="font-weight:400;">We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. </span></p><h3><strong>What we offer</strong></h3><p><span style="font-weight:400;">Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software &amp; ML engineering. Our experience in the space means we’ve previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic &amp; collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment. </span></p><p><span style="font-weight:400;">Employee benefits include: </span></p><ul><li style="font-weight:400;"><span style="font-weight:400;">Competitive base salary and a comprehensive medical, dental, vision, and 401k package</span></li><li style="font-weight:400;"><span style="font-weight:400;">Opportunity to own a significant piece of the company via a meaningful equity grant</span></li><li style="font-weight:400;"><span style="font-weight:400;">Unlimited vacation and flexible work schedule</span></li><li style="font-weight:400;"><span style="font-weight:400;">Ability to work remotely from anywhere in the United States, Canada &amp; Europe, or join one of our regional hubs in Boston, SF Bay Area, or London</span></li><li style="font-weight:400;"><span style="font-weight:400;">Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech</span></li></ul><p><em><span style="font-weight:400;">Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.</span></em></p></div>

Equilibrium Energy is a well-funded clean energy startup reshaping the industry with its digital native power company. Join their mission to

Software Engineer (Staff / Sr Staff)

<div><h2>About Watershed</h2><p><a href="https://watershedclimate.com/">Watershed</a> is a software platform for running a world-class climate program. We measure our success in the carbon reduction achievements of our customers. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.</p><p>We have offices in San Francisco, New York and London and remote team members across the US and Europe. We hope that you'll be interested in joining us!</p><h2>The role</h2></div><p>Accurately measuring sustainability impacts throughout the value-chain is the first step to reduce the human footprint on the planet. Watershed is building the leading software solution for financial institutions to measure their financed greenhouse gas emissions as a means to discovering pathways to reduce them. And, we are building a team of scientists to implement the end-to-end measurement and sustainability analytics platform for our customers.</p><p>We’re looking for an individual to own the data science strategy for the Watershed Finance team and develop it in tandem with other functional leaders to shape the product, go-to-market, and services strategies for the team. You'll work with world-class scientists, software engineers, and product designers to build the leading platform for measuring and evaluating sustainability impacts for the climate programs of some of the world’s preeminent financial institutions.</p><p><strong>As part of this work, you will:</strong></p><ul><li>Combine customer needs, government and industry guidance, and business strategy to create and execute the data science roadmap for the Watershed Finance product.</li><li>Partner with and advise trailblazing customers as we co-develop cutting-edge products that turn Watershed’s climate intelligence into market-leading investment intelligence.</li><li>Expand the impact of climate data science within financial institutions by researching and developing methods to solve problems like forecasting portfolio emissions trajectories, modeling decarbonization pathways, and measuring progress against targets.</li><li>Build and improve emissions estimation models that work with the varying types and granularities of investment data available to different types of financial institutions, including private equity, private credit, insurers, and more.</li><li>Identify and incorporate external data sets to enrich and expand Watershed’s offering, including financial data, emissions reports, and decarbonization commitments.</li><li>Use Watershed’s tooling to develop, test, and deploy models.</li></ul><p><strong>You might be a fit if you:</strong></p><ul><li>Have 6+ years experience as a data scientist, bonus if you have experience in process LCA, environmental input-output analysis, or hybrid LCA especially if related to modeling emissions for financial institutions.</li><li>Have experience in a customer-facing role leading engagements that involve problem discovery, product roadmap development, and advisory services.</li><li>Have fluency in a scientific programming language like Python, ideally in a production environment.</li><li>Are an excellent verbal and written communicator. You can communicate complex topics to technical and non-technical audiences.</li><li>Thrive in high-volume environments, with both systematic organization to drive efficiency and meticulous attention to detail to ensure accuracy.</li><li>Are willing to roll up your sleeves to work with unstructured and inconsistent data. You have good intuition for how numbers in a table map to the real world.</li><li>Are passionate about solving sustainability challenges and excited to contribute to doing so at a fast paced startup. You learn quickly and operate well in ambiguity.</li></ul><div><div><div><p>At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate’s skills, capabilities, and location, as well as scope of the role.</p><p><span>The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs etc. </span></p></div><div>Salary Range</div><div><span>$114,700</span><span>—</span><span>$230,300 USD</span></div></div></div><div><h2> </h2><h2>FAQ</h2><p><strong>Where does Watershed work?</strong></p><p>We have hub offices in San Francisco, New York and London, and some remote team members in the US and EU. Most of our jobs need to be in San Francisco / New York / London, but certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description.</p><p><strong>What’s the interview process like?</strong></p><p>It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience screen (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel after that if the screens go well. We prioritize transparency and lack of surprise throughout the process.</p></div>

Measure, reduce, and report carbon emissions with Watershed's enterprise climate platform, trusted by leading companies worldwide.

Environmental data scientist, financial services

<div><span style="font-size:11pt;">At Stable, you’ll build the foundation of EV charging businesses worldwide. Our software is already used by some of the biggest EV charging operators and developers in the U.S. to deploy billions of dollars in EV infrastructure, and we’re just getting started.</span></div><div><br></div><div><span style="font-size:11pt;">You’ll work alongside a cast of software engineers, machine learning specialists, data scientists, and problem solvers to transform complex consumer behavior, energy pricing, and incentives into actionable insights that propel charging businesses toward greater scale and sustainability.</span></div><div><br></div><div><span style="font-size:11pt;">We believe that the widespread adoption of electric vehicles is crucial for a greener and more sustainable future, and by facilitating the growth and success of the EV charging ecosystem, we can propel the world towards a sustainable transportation revolution.</span></div><div><br></div><div><span style="font-size:11pt;">Our flexible working culture allows everyone to set their own schedule and location to best suit their working style around a core window of overlapping hours. That means that we’re primarily remote, but we also offer co-working access and intentionally create in-person moments to foster collaboration and connection.</span></div><div><br></div><div><span style="font-size:11pt;">We also have great healthcare plans, 401k, parental leave, and a host of other benefits. You can see the full list here: </span><a href="https://stableauto.notion.site/Stable-Benefits-1361f8651c684a3687d2a1d3268b792f">Stable Benefits</a>.</div><div><br></div><div><span style="font-size:15px;">As Stable’s Head of Engineering, you’ll provide strategic and tactical leadership to our team of full-stack engineers and data scientists. You’ll report directly to our CTO and Co-Founder, Jamie, and have broad overlap with every member of our close-knit team.</span></div><br><br><h3>Your responsibilities</h3><ul><li>Execution - You’ll ensure projects are executed from architecture to delivery in ways that raise the ceiling for everyone involved. This might come from direct project management or indirect facilitation within the team.</li><li>Strategy - You’ll work closely with pretty much all members of our team—product management, marketing, sales, customer success, business development, and engineering—to facilitate and enact clear, prioritized technical strategies.</li><li>Process - You’ll orchestrate practices and processes that enable our team to do their best work, and enhance overall effectiveness and velocity.</li><li>Recruiting - We’re in the fortunate position that our business is growing quickly. You’ll define and drive staffing decisions and org structures that help us build a durable team.</li><li>Culture - You’ll model a strong engineering culture by facilitating clarity, autonomy and collaboration.</li></ul><h3>Your background</h3><ul><li>A great builder of talent - via hiring, hiring processes, 1:1 mentoring, career development, goal setting, and performance management.</li><li>Technical expertise - either in data science, machine learning, or web applications, but broad experience in all three. This gives you a thorough understanding of your teams’ domains, and the skills to dive deep when necessary and guide all levels of engineers.</li><li>You get things done - you focus on shipping the right things quickly. you have a history of building accountability and success by setting measurable outcomes (vs outputs) for your teams.</li><li>Strategically-minded - you have an exceptional understanding of technology best practices, and history of making informed tradeoffs in partnership with company leaders. </li><li>Scrappy - you’re willing to roll up your sleeves to be an IC when it matters.</li><li>Startup experience - you’ve worked in multiple startup engineering teams before in a leadership or management capacity, building and delivering software products.</li><li>Great communicator - you communicate clearly and effectively with technical and non-technical audiences.</li><li>A mindset of growth - you’re excited to learn and grow as our company does.</li><li>A natural optimist - where others see problems, you see opportunities for new and better solutions.</li><li>A passion for understanding users - you’re excited to get up every day and get to know our users a little better. For Stable, that means you have a strong interest in learning about (or already understand, e.g. from an adjacent field such as solar) how EV infrastructure gets deployed including financing, energy contracts, design &amp; build, and operations.</li></ul><br><div>Stable is an equal-opportunity employer. Whatever it is that makes you, well, you--whether it be race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or anything else—we’d love to hear from you. And we welcome applicants based anywhere in the U.S.</div>

Head of Engineering

<p>Gridware has developed an innovative hardware product that plays a crucial role in safeguarding communities from potential disasters related to electricity distribution, such as prolonged power outages, wildfires, and dangerous incidents involving the public. By utilizing advanced sensors, our technology promptly detects and locates grid disturbances, enabling rapid response to prevent or mitigate their impact. Join us in our mission to enhance safety and reliability for communities worldwide, protecting against catastrophic events before they occur.</p><p>We’re currently looking for an experienced Data Scientist to help us build tools and systems to detect electrical grid faults with data collected by our fleet of devices around the clock.</p><p><strong>Why do we need you?</strong></p><p>At a pivotal moment in our growth, we've successfully deployed our innovative power grid monitoring devices across several regions, marking a significant milestone in our mission to enhance the safety and efficiency of power distribution networks worldwide. We need build intelligent systems to handle efficiently handle a rapidly increasing fleet of devices while ensuring that each potential event is fully investigated.</p><p>As an early team member of our operations team you will play a critical role in building our next generation monitoring system and developing novel detectors to identify previously unseen faults in the grid. You will provide scientific support to growing number of operational hubs in various countries as we expand beyond the United States. You will help create a integrated technical system which prevents potential disasters, ensures fleet reliability, and safeguards communities</p><p></p><p><strong>Responsibilities:</strong></p><ol> <li>Develop an advanced operations alerting system to efficiently respond to real time events on the electrical grid.</li> <li>Leverage intelligent processing of high-frequency data across multiple sensor modalities to generate informative features for both human and machine learning models.</li> <li>Advance research and development efforts for characterization and detection of faults on the electrical grid.</li> <li>Expand monitoring capabilities to identify long-term risks to the electrical grid and explore new markets for safety and reliability improvement.</li> </ol><p></p><p><strong>Ideal Candidate:</strong></p><ul> <li>Has an advanced degree in engineering or a physical science.</li> <li>Has a track record of delivering multiple projects using diverse and distributed sensor data to classify or detect natural phenomena.</li> <li>Has experience in preparing real-time data and tools for operations centers, such as security monitoring, weather, pipeline, wind turbine, or utility management.</li> <li>Proven experience in presenting data to diverse audiences through dashboards and user-facing software tools.</li> </ul><p></p><p><strong>Minimal Qualifications:</strong></p><ul> <li>3 years of experience in analyzing and interpreting sensor or instrumentation data within a scientific or engineering context.</li> <li>Demonstrated ownership and delivery of at least two scientific projects involving event detection or classification based on sensor data.</li> <li>Working knowledge of signal processing and time-series analysis.</li> <li>Proficiency with Python, Git, and SQL.</li> <li>Familiarity with C++ and Spark.</li> <li>Ability to work in a Linux environment.</li> </ul><p></p><h3>Benefits</h3><p>Our employees enjoy working in a mission-driven environment to create a future with safe and reliable energy. Beyond that, we offer competitive benefits that help them to thrive and grow. These benefits include:</p><p>- Health, Dental and Vision insurance, free parking and a commuter allowance</p><p>- 401K</p><p>- Stock option plan</p><p></p><p>Gridware is an equal opportunity employer. We want applicants of diverse backgrounds and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.</p><p></p><h3>Compensation</h3><p>Gridware determines pay ranges by utilizing a wide variety of open and closed source compensation datasets. Base salary offered to candidates are typically determined by a range of factors including experience, credentials, job-related skill level, scope of responsibilities, and role level.</p>

Revolutionizing wildfire prevention with real-time monitoring of America's power grid using innovative hardware, firmware, and software. Based in

Senior Operations Data Scientist

<div><h3>About our Company</h3><p><span style="font-weight:400;">Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain. Our mission is to accelerate our collective path to climate, energy, and societal equilibriums. Our goal is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry.</span></p><p><span style="font-weight:400;">New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We design our commercial strategies, operational approaches, and product suites so as to best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines. These capabilities are enabled by our progressively modern s</span><span style="font-weight:400;">oftware stack and engineering best practices, which in turn provide the scalable platform we need to put a serious dent in carbon emissions. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.</span></p></div><h2><strong>What we are looking for</strong></h2><p><span style="font-weight:400;">We're seeking highly motivated and mission-driven individuals to join the Equilibrium Team. Though we may not have the exact opening that is right for you today, share your resume, contact information and a brief cover letter explaining what you're looking for in your next role. We'll reach out when new positions open up and connect you to relevant teams. </span></p><p><span style="font-weight:400;">In particular, we'd love to connect if you match any of our high-priority profiles: </span></p><ul><li><span style="font-weight:400;">Engineering- Software Engineer, Data Engineer, DevOps Engineer, ML Engineer</span></li><li><span style="font-weight:400;">Science- Data Scientist, Research Scientist, ML Scientist, Quantitative Analyst </span></li><li><span style="font-weight:400;">Commercial- Energy Trader, Portfolio Manager, Energy Trading Analyst</span></li><li><span style="font-weight:400;">Product- Product Manager, Product Operations Manager, Technical Product Manager </span></li></ul><div><h3><strong>Not sure this is the right role for you?</strong></h3><p><span style="font-weight:400;">We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. </span></p><h3><strong>What we offer</strong></h3><p><span style="font-weight:400;">Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software &amp; ML engineering. Our experience in the space means we’ve previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic &amp; collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment. </span></p><p><span style="font-weight:400;">Employee benefits include: </span></p><ul><li style="font-weight:400;"><span style="font-weight:400;">Competitive base salary and a comprehensive medical, dental, vision, and 401k package</span></li><li style="font-weight:400;"><span style="font-weight:400;">Opportunity to own a significant piece of the company via a meaningful equity grant</span></li><li style="font-weight:400;"><span style="font-weight:400;">Unlimited vacation and flexible work schedule</span></li><li style="font-weight:400;"><span style="font-weight:400;">Ability to work remotely from anywhere in the United States, Canada &amp; Europe, or join one of our regional hubs in Boston, SF Bay Area, or London</span></li><li style="font-weight:400;"><span style="font-weight:400;">Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech</span></li></ul><p><em><span style="font-weight:400;">Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.</span></em></p></div>

General Interest 

<div><span style="font-size:16px;">The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service. You will define the system and build the pipeline to enable Zoox to develop and scale with a data-first culture.</span></div><div><br></div><div><span style="font-size:16px;">You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. Hence, we are seeking all skill levels to grow with the team.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Coach, mentor and grow the data platform team</li><li>Collaborate closely with data scientists, cross functional teams and stakeholders to support their data needs</li><li>Help develop the long term roadmap and vision of our data infrastructure to meet future needs</li><li>Ensure efficiency and reliability of our large scale data processing infrastructure</li><li>Optimize and grow data infrastructure to meet increasing demand for data driven use cases</li></ul><h3>Qualifications</h3><ul><li>Experience managing and growing high performing teams of 5+ members</li><li>Hands-on technical leadership in designing and building highly scalable cloud data infrastructure systems for batch and/or stream processing</li><li>Familiarity in Python/Java/C++, SQL</li><li>Experience using modern compute, data infrastructure and visualization tools, and services such as Kafka, Airflow, AWS S3, AWS EC2, DBT, Kubernetes, Terraform, Data Lakes, Data Warehouses, and Looker</li><li>Strong written and verbal communication skills to work cross functionally with product managers, data scientists, ML engineers, and various stakeholders</li><li>Proven track record of delivering impactful projects through collaboration across teams and organization</li></ul><h3>Bonus Qualifications</h3><ul><li>Familiarity with Agile and Scrum based development</li><li>Familiarity with ML infrastructure</li><li>Experience in Autonomous Vehicle domain</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $239,000 to $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Transforming urban transportation with fully electric autonomous vehicles, challenging car ownership and reducing congestion.

Engineering Manager - Data Platform

<div><span style="font-size:11pt;">We are seeking a highly skilled software engineer to design and develop platforms that support and facilitate AI model development for the Perception component of our autonomous driving stack. In this role, you will work closely with Machine Learning (ML) engineers, data scientists, and software engineers to build scalable and high-performance applications that enable ML engineers to efficiently curate and build model training datasets, as well as evaluate their models across petabytes of multimodal data. You will be responsible for conducting the design and implementation of the frontend application of various MLOps systems, ensuring that they follow best practices to maximize the tooling efficiency and ML engineers’ productivity.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Collaborate with ML engineers and data scientists to understand business requirements and design MLOps applications that facilitate effective data operations, reveal data insights, and boost engineers’ productivity in ML model training and validation.</li><li>Develop the front end of the MLOps applications, for example, a Dataset Management platform that enables ML engineers to curate label data for model training. Another example is the Metrics platform that enables ML engineers to build their own metrics and dashboards to evaluate the performance of their models.</li><li>Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.</li><li>Monitor and optimize the performance of the applications to ensure high availability, scalability, and reliability, to support the development of mission-critical autonomous driving technology.</li><li>Continuously define problems and opportunities to iterate the application with a visionary product roadmap that keeps stakeholders on the same page.</li><li>Stay up-to-date with the latest trends and technologies in MLOps and data visualization, specifically related to autonomous driving perception and machine learning.</li></ul><h3>Qualifications</h3><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>At least 5 years of experience in software engineering and front-end application development.</li><li>Experience designing and building modern data-intensive applications such as data warehouses that query and visualize data at a large scale.</li><li>Experience with modern web frameworks (e.g. react, angular, vue), python API frameworks (e.g. FastAPI, Django), and writing high-quality backend Python code.</li><li>Knowledge of SQL basics.</li><li>Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience in MLOps application development and ML-related development in the Autonomous Driving industry</li><li>Experience with Plotly Dash framework is a plus</li><li>Experience working with distributed data processing platforms such as Databricks</li></ul><br><div><b>Compensation and Benefits</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $179,000-$294,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Full Stack Software Engineer - Perception Labeling & Tools

<div><span style="font-size:11pt;">Simulation is key to ensuring the safety of autonomous vehicles at Zoox. In this critical role, you will ensure Zoox’s simulation framework is a trustable platform for AI driving software validation, by analyzing the accuracy and realism of the simulator, and how effective the sim platform is at predicting real-world driving performance. You will work cross-functionally with our AI/autonomy teams, systems engineering and safety analysis teams, QA teams, and more, to measure and guide improvements to our simulation platform.</span></div><br><br><h3>Responsibilities</h3><ul><li>Derive requirements and perform system verification/validation for simulation frameworks and tools.</li><li>Drive planning and execution by decomposing system needs into projects, tools, and/or features that deliver incremental value to teams and customers.</li><li>Build metrics and tools which measure and continuously monitor simulation validity in alignment with company objectives.</li><li>Lead analyses of tools/frameworks and communicate results across stakeholders, driving continuous improvement to software components.</li><li>Collaborate with Engineering Managers to ensure design, implementation, and programs are on track, and regularly drive consensus among diverse partners on technical projects.</li><li>Develop clear proposals and design documents for large-scope or multi-functional initiatives.</li><li>Design and build statistically-sound analyses, sampling methods, validation criteria, and development processes for building highly relevant datasets for evaluation applications.</li><li>Build tools to mine large-scale logs and simulated data for the most interesting situations.</li><li>Typical workload: 30% validation strategy 30% coding, 40% dataset development and statistical analysis. </li></ul><h3>Qualifications</h3><ul><li>8+ years of experience in decomposing and analyzing large, complex systems.</li><li>Experience in systems engineering, requirements authoring, system analysis, and validation/testing.</li><li>Experience developing, specifying, and/or validating simulation-based testing technologies for autonomous, robotics, or other complex integrated systems.</li><li>Fluent in data-based and analytical engineering problem-solving practices, including using paretos and root cause analysis.</li><li>Excellent critical and analytical thinking skills: you can interpret what the data tells us and which analyses will reveal impactful conclusions.</li><li>Databricks, Jupyter Notebooks experience.</li><li>Proficient with Python, SQL, or similar for analysis of large datasets.</li><li>Clear track record of effective collaboration with data scientists, machine learning engineers, and platform teams, driving continuous delivery of quality results.</li><li>Comfortable working in a fast-paced environment and operating under ambiguity.</li><li>Strong communication skills and experience addressing diverse audiences.</li><li>BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or equivalent experience</li><div><br></div></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $203,000 to $345,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior/Staff Systems Engineer - Simulation Verification & Validation

<div>The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service. You will define the system and build the pipeline to enable Zoox to develop and scale with a data-first culture.</div><div><br></div><div>You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. Hence, we are seeking all skill levels to grow with the team.</div><br><br><h3>In this role, you will:</h3><ul><li>Design, build, and maintain the pipelines that transform autonomous vehicle data at scale to support analytics throughout the company</li><li>Build and contribute to tools that help discover data, support data governance and ensure high data quality</li><li>Contribute to design and development of data infrastructure that can scale to support our exponentially increasing data needs</li><li>Optimize existing data infrastructure and tools to provide improved performance, reduced latency and effective utilization of resources.</li><li>Work closely with data scientists, data engineers, and stakeholders across the company to understand data needs and provide solutions that meet their needs.</li></ul><h3>Qualifications</h3><ul><li>Strong Python skills</li><li>Strong data operations mindset and opinions on next-generation warehouse tools</li><li>Experience with building production grade applications using Python, data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …), and relational databases (e.g. MySQL, Postgres, …)</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience with full-stack development (e.g. Flask, …)</li><li>Experience with Docker and Kubernetes</li><li>Basic fluency in Standard Query Language (SQL), C++, and/or TypeScript</li><li>Experience operating a workflow manager such as Airflow</li><li>Experience with data visualization technologies (e.g. Tableau, Looker, …)</li><li>Experience with CI/CD</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $164,000 to $234,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior Software Engineer, Data Platform

<div>The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack and has a close relationship with our vehicle hardware and safety teams to architect redundancy into our overall driving system.</div><div><br></div><div>As the Manager, Data Science for CAS (CAS Verification and Validation) at Zoox, you will spearhead a multifaceted team comprising engineers, data scientists, and statisticians, focusing on the critical task of assessing the Collision Avoidance System (CAS). This system is essential for detecting and mitigating imminent collisions, through partnering with Zoox's autonomy software teams. Your role involves defining and building metrics to gauge CAS performance, emphasizing its operation in dense urban settings. You will collaborate extensively with System Engineers and QA teams to formulate comprehensive validation plans, ensuring CAS's efficacy and integration within Zoox's broader safety objectives.</div><br><br><h3>Responsibilities</h3><ul><li>You will set the short and long-term technical direction for the team and collaborate on the broader company-wide directions </li><li>You will coordinate cross-functional initiatives with other teams across CAS Perception Algorithms, Systems Engineering, QA, and more</li><li>You will grow the team through hiring and guide the continued professional development of team members</li><li>You will collaborate with engineers on the other parts of CAS Perception, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments</li></ul><h3>Qualifications</h3><ul><li>B.S. or higher degree in an Engineering or Science discipline with a strong focus on Mathematics, Statistics, Probability Theory, or Data Science</li><li>8+ years of relevant professional work experience and at least 2 years of leading teams of 5+ engineers</li><li>Fluency in Python</li><li>Proficiency in quantitative analysis/modeling tools</li><li>Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders</li></ul><h3>Bonus Qualifications</h3><ul><li>Advanced Degree in Computer Science</li><li>Experience with production metrics pipelines</li><li>Experience with manual or automatic labeling pipelines</li><li>Experience with analysis of latency for safety-critical software systems</li><li>Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)</li><li>Background in Bayesian statistics</li><li>Proficient with Scala / R / SQL</li><li>Prior experience with autonomous vehicles in general</li><li>Strong mathematics skills</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $203,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Manager, Data Science for Collision Avoidance

<div>The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service. You will define the system and build the pipeline to enable Zoox to develop and scale with a data-first culture.</div><div><br></div><div>You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. Hence, we are seeking all skill levels to grow with the team.</div><br><br><h3>In this role, you will:</h3><ul><li>Design, build, and maintain the infrastructure that transforms autonomous vehicle data at scale to support analytics throughout the company</li><li>Define and execute on how data from perception, prediction, planning and other parts of the autonomous stack is consumed to generate valuable insights by data scientists, engineers, and business users </li><li>Establish robust data integrity monitoring so that company-wide metrics are based on accurate data</li><li>Partner with engineering and product teams to define data consumption patterns and establish best practices</li></ul><h3>Qualifications</h3><ul><li>Experience designing and building complex data infrastructure at scale</li><li>Advanced Structure Query Language (SQL) and data warehousing experience</li><li>Experience operating a workflow manager such as Airflow</li><li>Experience with large scale streaming platforms (e.g. Kafka, Kinesis), processing frameworks (e.g. Spark, Hadoop) and storage engines (e.g. HDFS, HBase)</li></ul><h3>Bonus Qualifications</h3><ul><li>Exceptional Python or Scala skills</li><li>Basic fluency in C++</li><li>Familiarity with or exposure to experimentation platforms</li><li>A strong DataOps mindset and opinions on next-generation warehousing tools</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $143,000 to $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>ABOUT ZOOX</b></div><div><br></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of artificial intelligence, robotics, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior Data Engineer

<h3>About the Job</h3><p>As a Data Scientist at Anthro Energy, you will play a pivotal role in leveraging data to drive innovation in lithium-ion electrolyte technology. You will be responsible for structuring data and developing predictive models to accelerate Anthro's material development. This position offers a unique opportunity to contribute to the advancement of sustainable energy solutions in a dynamic startup environment. </p><p></p><h3>What you will do</h3><ul> <li>Develop and implement statistical and machine learning models to analyze complex datasets, identify trends, and solve problems related to battery performance and manufacturing processes.</li> <li>Design, implement, and manage a cloud-based database system using Azure to store and process large datasets related to battery research and development.</li> <li>Collaborate with the R&amp;D team to design experiments and analyze experimental data for the development of novel electrolyte materials.</li> <li>Work with consultants and contractors to build and improve internal data systems at Anthro. </li> <li>Apply predictive modeling to enhance the performance of battery cells.</li> <li>Utilize data visualization techniques to present findings and drive decision-making.</li> <li>Stay abreast of advancements in AI/ML to apply cutting-edge techniques to battery technology data.</li> </ul><p><strong>Requirements</strong></p><ul> <li>Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, or a related field.</li> <li>Proven experience in machine learning, predictive analytics, and statistical modeling.</li> <li>Proficiency in programming languages such as Python, R, or MATLAB to analyze large data sets. Experience with pandas, numpy, sci-kit learn, pytorch, and similar preferred. </li> <li>Experience with SQL and database management systems.</li> <li>Experience in developing solutions and validating them using control theories such as adaptive filtering techniques</li> <li>Strong knowledge of battery technology and electrochemistry is preferred.</li> <li>Excellent problem-solving abilities and attention to detail.</li> <li>Ability to communicate complex data in a clear and actionable manner.</li> <li>Experience with big data platforms and tools is a plus.</li> </ul><p><strong>Benefits</strong></p><ul> <li>Competitive salary and equity compensation commensurate with experience</li> <li>Generous paid time off and sick days in addition to Holidays</li> <li>Medical, dental, and vision coverage for team members and dependents </li> <li>Diverse and inclusive work environment</li> </ul>

Anthro is an advanced materials company developing solutions to some of the biggest problems facing the battery-dependent electrified future.

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