Senior Data Scientist

Senior Data Scientist

About our Company

Equilibrium Energy is a well-funded clean energy startup in stealth mode 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, complex 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 ambition is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry.

Internally, we obsess over synthesizing insights across our product, engineering, commercial and operational capabilities. Our early-mover commercial strategy is unlocked by our holistic product vision and deeply technical energy domain expertise, which are in turn enabled by our Big Tech-quality engineering. We’re composed of deeply knowledgeable industry experts across all our functions who have decades of experience in energy-specific commercial structuring, power systems engineering, ML engineering, computational research, operations research, distributed and compute-intensive infrastructure, and modern software engineering. Our experience in the space means we’ve previously built versions of nearly every technical component of our platform. Now, we’re designing them better, combining them in a holistic and novel way, and building for global scale and climate impact.

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 build our commercial strategies, operational approaches, and product suites from the ground-up to leverage data-driven insights, autonomous workflows, ML- and AI-infused pipelines, and fully automated decision and execution engines. In turn, these capabilities are enabled by our aggressively modern software stack and engineering practices, which provide the scalability we need to put a serious dent in carbon emissions.

We pride ourselves on our deeply collaborative culture, our honest and direct but respectful communication, the empathy and care that we show for each other, and our balanced, flexible, and remote-first work environment (we have regional hubs in Boston, SF Bay, and London, but anyone can work from anywhere without paying an influence or access-to-information tax). We’re looking for equally collaborative, talented, passionate and gritty folks to join our team and help us lay the foundation for our important mission and ambitious plan.

Equilibrium raised its seed funding in February 2021 and is currently closing a large Series A round with expected close in February 2022. Once our Series A is closed, we will hire and scale the team aggressively. Please reach out if you are interested in joining the team, whether we have a job description for your unique skill set or not.

About the Job

At Equilibrium, we are building a company where data drives all our decision-making, and automated workflows infused with ML and AI throughout will be the engine of our success. We are looking for a Senior Data Scientist who shares our vision that an energy company with deep domain expertise can be built from the ground-up on data, ML and AI, and the automated workflows to autonomously act upon our data-driven insights. This senior technical role will accelerate delivery of our ML and AI product development activities while helping to build data science capabilities that underpin the company’s future successes. 

In the near-term, you will work with software engineers, data engineers, infrastructure engineers, ML engineers, product managers and product analysts to execute our ML- and AI-infused product development plan en route to earning our first company revenues and subsequent venture financing. In the medium-term, you will contribute to building the data science workflows, capabilities, feature stores, and production models that underpin and differentiate business processes and decisions across the company.

Responsibilities

• Lead data science projects with hands-on analysis and modeling, drawing from an array of methods to choose the right tool and right level of complexity appropriate for the need.
• Engage across the organization to identify, prioritize, frame, and structure complex and ambiguous challenges where advanced data science techniques, models and workflows can have the biggest impact.
• With the support of ML engineering and software engineering, deliver full ML / AI pipelines by leading requirements specification, data gathering, exploratory data analysis, model technique researching, model development, model training and testing, and model evaluation. Upon successful model development, support model deployment for operational use, model performance evaluation, and model operations support.
• Develop comprehensive knowledge of data structures, pipelines, and metrics, advocating for improvements where needed to improve product development.
• Partner with Product and Engineering to identify improvement opportunities.
• Work across the following areas:
  • Exploratory Analysis: propose what to build next to deliver business value; understand product/domain ecosystems, user behaviors, business workflows, and industry trends; identify new levers to improve performance metrics.
  • Model Development: lead specification, development, training and testing of ML and AI models, ultimately leading to delivery into production runtime workflows.
  • Operations and Support: evaluate, define, and build testing and performance metrics; monitor model performance and understand root causes of performance; build and analyze performance dashboards and reports.
  • Data and Features: automate analyses and build new data pipelines; contribute to data / ML / AI feature stores; assemble key data sets to empower exploratory analysis, model development, training and testing.
  • Product Vision: influence product and engineering roadmaps through presentation of data-driven recommendations, experimental results, and model performance to propagate best practices and drive long-term business value.

Minimum Qualifications

• BA/BS/Master's degree in a quantitative discipline (e.g., Operations Research, Industrial Engineering, Mathematics, Computer Science, Economics, Physics, Electrical Engineering) or equivalent practical experience.
• Development experience in Python and databases (e.g., SQL)
• Knowledge of statistics (e.g., hypothesis testing, regressions)
• 2 years of work experience as a data scientist

Preferred Qualifications

• PhD degree in a quantitative discipline (e.g., Operations Research, Industrial Engineering, Mathematics, Computer Science, Economics, Physics, Electrical Engineering)
• 4 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.
• Advanced proficiency in Python and databases (e.g., SQL).
• Experience developing and releasing ML/AI models that support operational users (e.g., models that run and produce new inferences every hour of the day).
• Applied experience building ML and DL models in the electricity and energy domain (e.g., wholesale market price forecasting)
• Familiarity with optimization techniques (e.g., stochastic optimization, robust optimization, etc.)
• Applied experience designing and building statistical forecasting models on time series data, including characterizing probabilistic forecasting uncertainties.
• Applied experience designing and building reinforcement learning models and pipelines.
• Proactive communicator who can translate product design specs into organized code.
• Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy.
• Demonstrated proactivity and self-direction. Willingness to teach as well as learn.
• Excellent team collaboration skills and collaboration-first mentality.
• Passion for clean energy and saving the environment a plus!

What we offer

• Opportunity to own a significant piece of the company via meaningful equity grant
• Competitive salary and comprehensive medical, dental, and vision benefits
• Flexible work schedule and unlimited vacation
• Ability to work remotely from anywhere in the United States
• Deeply collaborative culture with a supportive, tight knit and fun team
• Growth opportunities to learn from other senior engineers with a diverse set of skills and experiences across energy and tech
• Extremely promising company prospects, with top tier investors and leadership team in place

Get in touch

Interested? Reach out to us at hiring@equilibriumenergy.com. We can’t wait to tell you more about what we’re cooking up. All roles, titles and compensation packages will be tailored to the applicant, so reach out if any of the above looks interesting.