<h3>Staff Data Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Staff Data Scientist to help accelerate our mission.About the positionIn this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.ResponsibilitiesThe Staff Data Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Staff Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Cloud computing resources.</li><li>Building predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Data from a variety of physical systems.</li><li>Geospatial analyses and visualizations.</li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics and Bayesian inference</li><li>Substantial understanding of machine learning algorithms</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>A minimum of 6 years post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Senior Data Scientist, Staff Data Scientist, and Principal Data Scientist with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li><li>Experience leading technical teams to apply novel scientific approaches to core business problems </li></ul>Work practices and motivation:<ul><li>Ability to design, scope and implement technical solutions to novel exploration problems </li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $175,000-$275,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada

AI-powered KoBold Metals® is revolutionizing electrification and combatting climate change with breakthrough discoveries and top-tier industry talent.

Staff Data Scientist

<div>Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!</div><div>About the RoleThe Prediction, Optimization, and Planning (POP) team builds Afresh's core replenishment technology. Our AI models are directly responsible for ordering millions of dollars of fresh inventory across the world every day. Fresh food ordering is an extremely complex high-dimensional decision-making problem. We face the complex challenges presented by decaying product, uncertain shelf lives, varying consumer demand, stochastic arrival times, extreme weather events, and tight performance constraints (to name a few). We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies. Our team has presented work at multiple industry leading conferences, and we encourage team members to write and present their work publicly.As an Applied Scientist at Afresh focused on forecasting, you will take your existing knowledge of machine learning and apply it to the challenge of demand forecasting. You will thrive in this role if you love the craft of neural networks in research and production environments: hyperparameter optimization, model tuning, feature selection, thorough error analysis, architecture selection, and deep understanding of the data you are modeling. We are looking for someone who is equally adept at gaining insights from 8 hours of data analysis or 8 hours of reading papers. Your will research, implement, and rigorously validate improvements to our core forecasting system. This will include modeling seasonal demand, rare events, promotion cannibalization, and aggregating correlated demand across multi-echelon systems. Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world.<ul><li>You will work on improving the accuracy and calibration of the demand forecasting models that power our warehouse-level and store-level ordering products. You will also lead research development for new product and business challenges.</li><li>In your first 3 months, you will acquire a comprehensive understanding of our current forecasting system and modern neural network approaches to time-series forecasting. You will gain proficiency in our data manipulation, transformation, and forecasting tools, and you'll test an experimental improvement to our demand forecasting system.</li><li>By the end of your first 6 months, you will have proposed, implemented, and rigorously validated an improvement to our forecasting system.</li><li>By the end of your first year, you will have led the implementation of fundamental changes to our core forecasting system and led research into forecasting extensions (multi-echelon forecasting, rare event modeling). </li><li>We need to make optimal ordering decisions for millions of items for weeks at a time, and our system must be fault-tolerant to an extreme. Our partners rely on our system to order millions of dollars of inventory every week, and so your code must be rigorously validated, tested, and bug-proof.</li></ul>Skills and Experience<ul><li>5+ years of industrial or academic experience building mission-critical machine learning systems. </li><li>Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English.</li><li>5+ years of experience in neural network libraries (Pytorch/Tensorflow/JAX). Proficiency in Pytorch preferred, or willingness to transition from Tensorflow/JAX. </li><li>Fluent in programmatic data analysis using SQL and Pandas.</li><li>Excellent data visualization skills.</li></ul>Salary Band: </div><div>About Afresh Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference. </div>

Reducing food waste, increasing access to nutritious food globally. Optimizing grocery industry with AI-powered solutions.

Staff Applied Scientist - Forecasting

<h3>Staff Data Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Principal Data Scientist to help accelerate our mission.About the positionIn this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.ResponsibilitiesThe Principal Data Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Principal  Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>SQL, as well as familiarity with non-relational databases.</li><li>Cloud computing resources.</li><li>Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Working with a broad range of types of data including data from physical systems.</li><li>Geospatial analyses and visualizations.</li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of Machine Learning algorithms</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>10 years of post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul>Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li><li>Containerization solutions</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, national origin, age, citizenship, marital status, disability, or veteran status. The US base salary range for this full-time exempt position is $225,000 - $265,000.

Principal Data Scientist

<h3>Senior Data Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Senior Data Scientist to help accelerate our mission.About the positionIn this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.ResponsibilitiesThe Senior Data Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Senior Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>SQL, as well as familiarity with non-relational databases.</li><li>Cloud computing resources.</li><li>Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Working with a broad range of types of data including data from physical systems.</li><li>Geospatial analyses and visualizations.</li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of Machine Learning algorithms</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>Post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul>Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li><li>Containerization solutions</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $140,000-$210,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in Australia

Senior Data Scientist, Australia

<h3>Senior Data Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Senior Data Scientist to help accelerate our mission.About the positionIn this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.ResponsibilitiesThe Senior Data Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Senior Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Building, evaluating, and interpreting predictive models</li><li>Data from a variety of physical systems.</li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of machine learning algorithms</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>4 years of post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul>Work practices and motivation:<ul><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $140,000-$220,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada

Senior Data Scientist

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.About the position:At KoBold we believe that a modern ML stack will enable systematic mineral exploration and materially improve the success rate. This role is a key ingredient to this strategy. As a member of our software engineering team, you will apply software engineering and machine learning to large remote-sensing datasets in order to build scalable ML systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.Responsibilities of this role include:<ul><li>Architect, implement, and maintain foundational scientific computing libraries that will be used in Kobold’s mineral exploration analyses.</li><li>In collaboration with other engineers, build ML tooling to increase the velocity of our machine learning progress, including enabling rapid prototyping in Jupyter notebooks; building experimentation, evaluation, and simulation frameworks; turning successful R&amp;D into robust, scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability.</li><li>In collaboration with data scientists, build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Apply–and coach team members to use–engineering best practices such as writing testable and composable code</li><li>Collaborate with data scientists, geoscientists and engineers to invent the modern scientific computing stack for mineral exploration</li></ul>QualificationsOur ideal candidate will have:<ul><li>At least 5 years of experience as a software engineer, data scientist or ML engineer, though most great candidates will have closer to 10. Recent bachelor’s/master’s candidates are unlikely to be competitive.</li><li>Track record of building production ML solutions or tooling that have delivered business value</li><li>Proficiency with foundational concepts of ML</li><li>Proficiency in Python, ideally including array-based packages such as xarray and numpy</li><li>Proficiency in a variety of parallel computing patterns, for example using distributed computing frameworks such as Dask</li><li>Flexibility to engage with data scientists and increase their productivity for both experimental and production workflows </li><li>An open-mind and curious attitude to learn and embrace the unique challenges of applying machine learning to mineral exploration, such as limited groundtruth data, complex quality metric design, and difficulties to create generalizable models</li><li>Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)</li></ul>Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul> KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.The US base salary range for this full-time exempt position is $190,000-$250,000.Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada.<h3> </h3><h3> </h3>

Staff ML Engineer

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Senior Decision Scientist to help accelerate our mission.About the positionIn this role, you will work to create intelligent systems to guide mineral exploration decisions. You will develop probabilistic models of subsurface geology that fuse domain expert knowledge and quantitative data from geophysical, geochemical, and other measurements. You will design filters to robustly update models of geological uncertainty with new data. You will build intelligent agents to recommend exploration strategies to optimally reduce uncertainty about prospective targets. You will work with geoscientists to build understanding of the quantitive methods and their recommendations. The systems you implement will be used to accelerate discovery of critical battery metals.You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will rigorously define and quantitatively model geological hypotheses, create simulations of exploration programs, and ultimately design field programs to collect new data that will best reduce uncertainty over critical prospect parameters.Ultimately, your role is to help KoBold make valuable discoveries by quantitatively deciding how to best use exploration time and resources to quickly understand mineral prospects. As one of the early members of this team, you will help build these tools from the ground up.ResponsibilitiesThe Senior Decision Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Collaborate with geoscientists to create quantitative models of geological systems.</li><li>Create generative models of geological systems for specific prospects using Monte Carlo and other statistical methods.</li><li>Develop Bayesian filters to rigorously track uncertainty throughout exploration data gathering.</li><li>Implement intelligent agents using methods such as Monte Carlo tree search and reinforcement learning to guide data-gathering and other exploration activities.</li><li>Create visualizations to communicate results and build understanding in the exploration team.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul> QualificationsA great Senior Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Applied Bayesian statistics including non-parametric models, such as particle filters, Markov chain Monte Carlo sampling, and other methods of statistical inference.</li><li>PyTorch, Tensorflow, or other deep learning and probabilistic programming modules.</li><li>Modeling partially observable Markov decision processes and constrained optimization problems.</li><li>Optimizers for sequential decision problems, including Monte Carlo tree search and reinforcement learning.</li><li> </li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics, especially Bayesian statistics.</li><li>Understanding of classical and deep machine learning algorithms.</li><li>Knowledge about autonomous system design and high-level intelligent behavior automation.</li></ul> Training and work experience:<ul><li>An advanced degree in the physical sciences, computer science, mathematics, or engineering. Preference is for academic work with a computational focus.</li><li>Post-degree work experience as an autonomy or AI engineer or research scientist. KoBold is willing to consider candidates at the Decision Scientist, Senior Decision Scientist, or Staff Decision Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul> Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul> It is also helpful, but not required, to have experience with:<ul><li>Geostatistics.</li><li>Deep generative/probabilistic models.</li><li>Distributed computing applications for machine learning and other computations</li><li>Collaborative, multi-agent systems optimization.</li></ul> KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $140,000-$250,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada

Senior Decision Scientist

About the company: KoBold Metals Zambia is a Zambian-led company exploring for the ore deposits that will become the next generation of new mines in Zambia.KoBold Metals Zambia is the Zambian affiliate of KoBold Metals, a U.S.-based company exploring around the world for battery metals using proprietary AI to guide exploration decisions. Our business is discovering, defining, expanding, and developing mineral resources, and our objective is to achieve a step-change improvement in exploration success resulting in more tier 1 resources discovered faster, with fewer failures, and with far less exploration capital.KoBold is privately held and its investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.KoBold Metals Zambia is building a rapidly growing team of Zambian geologists, operators, and executives to identify, acquire, explore, and develop exploration opportunities and mineral resources drawing upon KoBold’s technology and the expertise of colleagues worldwide.We are hiring a Principal Geologist to help accelerate our mission.About the positionKoBold® is looking for a highly motivated and experienced Geologist who will be part of our multidisciplinary exploration team, reporting to the Global VP of Geology. In this role, you will be part of the core team responsible for planning and conducting exploration programs on our properties. You will help develop new targets and plans to test them and will oversee drilling, data collection on drill core, and other field activities from soil sampling to geophysical surveys. You will work closely with both geologists and data scientists in Zambia and around the world to help design and implement our proprietary software tools to get insights from geoscience data and to guide exploration programs in real time. You will be a key part of the team that puts these insights into practice in making exploration decisions in the field.Work Location:  Residential 5:2 based in Chingola or Chililabombwe. Six weeks on, two weeks off FIFO rotation negotiable.ResponsibilitiesThe Principal Geologist will:<ul><li>Have an expertise in sediment-hosted copper deposits </li><li>Oversee and conduct geological drill core logging</li><li>Be responsible for management of geologic staff in Zambia</li><li>Handle day-to-day management of drilling campaigns alongside Drilling Manager</li><li>Meet company objectives in discovery of new deposits</li><li>Perform a range of geological analyses to generate and refine targets and geologic models resulting from the data collection programs</li><li>Work collaboratively with data scientists and provide mentorship to geology team members</li><li>Drive the individual and collective talent development of KoBold Metal's Zambia's Geology team</li><li>Offer leadership and mentorship to local Geologists and Data Scientists</li><li>Incorporate local Data Scientists into understanding the basics of Mineral Exploration and Development</li><li>Lead due diligence reviews of advanced and complex projects</li><li>Generate opportunities and exploration strategies at regional and district scales, integrating all types of geoscientific information</li><li>Have advanced capability in using diverse datasets for generative purpose and hypothesis development</li><li>Guide documents and presentations of colleagues to the highest standard</li><li>Track record of training and mentoring staff members at varying levels in all aspects project generation, reconnaissance, and resource development</li></ul>QualificationsA great Prinicipal Geologist candidate will have:<ul><li>A Bachelor’s degree or higher in Geology/Geosciences</li><li>At least 15 years of experience in sediment-hosted copper mineral systems</li><li>Significant advanced project experience with exposure to resource development and technical studies requirements</li><li>Familiarity with JORC or NI: 43-101 reporting standards  </li><li>Professional registration with an internationally recognised body</li><li>Excellent communication, management, and reporting skills</li><li>Ability to use geoscience data to think predictively and insightfully about exploration targeting</li><li>Experience supervising multiple exploration programs </li><li>Insatiable intellectual curiosity</li><li>Good computer skills including working knowledge of QGIS and Leapfrog Geo</li></ul>We are committed to equal employment opportunities for all people.This position is a full-time contract role with the potential to convert to a permanent position within the first year.Location: All candidates must be legally eligible to work in Zambia and have a valid Driver's licenseAt this time we are only accepting applications from Zambian nationals

Principal Geologist, Zambia

A global research organization turning big ideas into action for a sustainable future, addressing critical challenges.

Consultant, Power BI Specialist

Operations Specialist ll, RDI

<h2>Overview</h2>Put your passion and skills to work for the planet. Climate change is the most urgent issue of our time, and we need people like you to help us build a vital Earth — for everyone. We’re Environmental Defense Fund, a fast-paced nonprofit with a growing staff of more than 1,000 people in nearly 30 countries. We deliver game-changing solutions that cut climate pollution and strengthen people’s ability to thrive despite the effects climate change is already having. We work wherever we can have the most impact, from local communities to top companies to governments worldwide, and even in space. Our culture, values and commitment to diversity make EDF an exciting and meaningful place to work. Every job here makes a difference. Won’t you join us?<h2>Responsibilities </h2>The Office of Chief Scientist (OCS) is the nexus of science at EDF, ensuring that the science that is the backbone for all EDF policy positions is based on the best available information. To be most effective in this role, OCS provides programmatic support for all scientists at EDF and fosters relationships with scientists outside the organization. EDF has set an ambitious goal to achieve a 45% cut in global methane pollution from the Oil and Gas supply chain by 2025 in an effort to reduce the rate of warming we will experience over the next 20 years, equivalent to closing one third of the world’s coal fired power plants.  Overall Function The Scientist, Global Methane will be a key contributor to oil and natural gas-associated initiatives within EDF. Minimizing methane emissions from oil and natural gas supply chains is a core part of EDF’s energy and climate work. The Scientist will (i) help EDF stay at the cutting-edge of how to measure and mitigate anthropogenic methane emissions, and (ii) work to develop the scientific understandings required to mitigate methane emissions associated with global production and distribution of oil, gas, and coal. The Scientist will work with EDF's Office of the Chief Scientist team in close collaboration with policy and legal experts and report to the International Senior Scientist. Key Responsibilities<ul> <li>Conduct research, analysis and provide scientific guidance and support for EDF’s work to characterize and mitigate methane emissions from oil and gas operations.</li> <li>Design, plan and execute EDF’s work on characterizing methane emissions from oil and gas supply chain; collaborating and coordinating effectively with academic and other relevant partners.</li> <li>Provide scientific guidance on the design and development of robust, empirically based measurement, reporting and verification (MRV) frameworks for methane emissions from the oil and gas industry.</li> <li>Coordinate and manage partnerships with research institutions.</li> <li>Coordinate and ensure rigor of scientific initiatives collaboratively undertaken with a diverse group of stakeholders including industry, academics, multilateral organizations and the public sector.</li> <li>Synthesize scientific results and insights from recent literature and communicate that information to a multi-disciplinary team, including EDF scientists, policy experts, and corporate and community partnership specialists.</li> <li>Provide scientific support to EDF’s global oil and gas methane initiatives and program.</li> <li>Remain at the cutting-edge of climate science, including staying up-to-date with the scientific literature.</li> <li>Ensure scientific integrity of EDF generated materials.</li> <li>Participate/lead in the analysis and writing of papers for publication in peer-reviewed journals.</li> <li>Attend and represent EDF at external meetings and interact with the scientific community at large.</li> <li>Participate in advancing EDF DEI goals in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges in alignment with EDF values.</li> <li>Independently support other “rapid response” and/or project development efforts on an as-needed basis.</li></ul>Qualifications<ul> <li>A PhD in atmospheric science, physical sciences or engineering (e.g., chemical engineering) or related field with at least 2 years of experience, post-doc required.</li> <li>A track record of performing and publishing methane-focused research.</li> <li>Familiarity with methane emission datasets (i.e., in-situ measurements, satellite remote sensing).</li> <li>Experience coordinating methane field measurement campaigns.</li> <li>Understanding of methane monitoring technologies.</li> <li>Strong quantitative analysis skills.</li> <li>Excellent written and oral communication skills.  </li> <li>Initiates and maintains contacts within the scientific community.</li> <li>Experience in performing rigorous analysis with short deadlines in support of highly visible work.</li> <li>The ability to communicate complex ideas in writing and orally to multiple stakeholders with different levels of expertise, including the public and industry.</li> <li>Must demonstrate cultural awareness and the knowledge, attitude, behavior and skills that lead to a culturally competent workplace. Must demonstrate a commitment to continued self-assessment, learning and growth to increase and broaden culturally competent skillsets that produce effective interactions with people across diverse cultures and backgrounds. This includes the ability to adapt to cultural change.</li> <li>An ability to work both independently and as a member of small teams on multiple projects in a fast-paced, dynamic. and creative environment.</li> <li>Demonstrates self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds.</li></ul>Additional Preferred Qualifications<ul> <li>Familiarity with emission inventories.</li> <li>Proficiency in statistical analysis and understanding of atmospheric modeling.</li> <li>Willingness to travel internationally (&lt;10% of time).</li> <li>Understanding of current methane MRV frameworks</li></ul> Locations: Remote – US; Belgium; Netherlands Range for Belgium: 66,000 – 72,000 EURRange for Netherlands: 67,000 – 74,000 EUR NOTE: If you’re applying for one of our European locations, you must have the right to live and work in the applicable country when applying.<h2>Pay Ranges</h2>We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.The pay range for this role is shown below. Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency. <h2>Minimum Salary</h2>USD $95,000.00/Yr.<h2>Maximum Salary</h2>USD $106,000.00/Yr.<h2>EEO Information</h2>Environmental Defense Fund is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

Leading the way in environmental solutions with strong science, partnerships, and practical approaches for a sustainable future.

Scientist, Global Methane

<h2>Overview</h2>Put your passion and skills to work for the planet. Climate change is the most urgent issue of our time, and we need people like you to help us build a vital Earth — for everyone. We’re Environmental Defense Fund, a fast-paced nonprofit with a growing staff of more than 1,000 people in nearly 30 countries. We deliver game-changing solutions that cut climate pollution and strengthen people’s ability to thrive despite the effects climate change is already having. We work wherever we can have the most impact, from local communities to top companies to governments worldwide, and even in space. Our culture, values and commitment to diversity make EDF an exciting and meaningful place to work. Every job here makes a difference. Won’t you join us?<h2>Responsibilities </h2>Program Overview  With world attention focused on both the environment and the economy, Environmental Defense Fund (EDF) is where policymakers and business leaders turn for win-win solutions. This leading green group, with programs from Boston to Beijing, has tripled in size over the past decade by focusing on strong science, uncommon partnerships and market-based approaches. You can be part of a vibrant workplace that welcomes diverse perspectives, talents and contributions, where innovation and a focus on results are a way of life.   The goal of EDF's Ocean Science Program is to deliver the science that will help build resilient oceans that provide more fish in the water, more - and more secure - food on the plate and more prosperous fishing communities, all over the world, even with climate change.  In recent years, we have focused on the science behind robust transformations of fisheries management in the U.S., China, Japan, Indonesia, the Philippines, Mexico, Peru, Chile, Belize, Cuba and Europe, working in partnership with diverse stakeholders and coastal communities. Scientific priorities include developing new approaches to understand and address the effects of climate change on marine ecosystems, including not only resilient fisheries, but also complementary engagements that enhance marine and coastal ecosystem resilience and human wellbeing, especially for disadvantaged and vulnerable populations.     Location  U.S. Remote, with possibility to work out of an EDF Office location (Austin, TX; Boulder, CO; Boston, MA; New York, NY; Raleigh, NC; San Francisco, CA; Washington D.C.), with travel to Cornell University and other EDF locations as needed. Fellow supervisors are in Boston, MA, Seattle, WA, and Ithaca, NY. Eligibility to work in the U.S. is required for the duration of the fellowship. Term  This is a 2-year fellowship with an anticipated start date between July 1 and September 1, 2024.  Overall Function  The Atkinson Postdoctoral Fellow will develop a model to evaluate the food and nutrition provisioning implications of prospective commercial fisheries targeting mesopelagic (midwater) marine fishes and zooplankton for use in aquaculture feeds (e.g., fishmeal), and conduct a trade-off analysis of climate mitigation and food production goals from such fisheries. Specifically, the fellow will calculate the fishmeal production potential from fisheries in 1-2 geographies (potentially the California Current, Humboldt Current, and/or the North Atlantic), and calculate the potential protein and micronutrient yield of aquaculture species portfolios reflecting different management goals (e.g., maximize protein, maximize specific nutrients, maximize profit). This analysis would be integrated with ongoing modeling of the carbon sequestration potential of mesopelagic species, to enable a trade-off analysis. The fellow will determine the optimum level of harvest of mesopelagic species in each geography that could support food security provisioning and minimize disruption of carbon sequestration. This model and trade-off analysis will be developed into one or more academic journal articles, as well as policy briefs and communication materials to share with national and international fishery management bodies, industry representatives, and climate leaders.  The fellow will work with Dr. Julia Mason, Social-ecological Systems Scientist and Dr. Mattias Cape, Marine Biogeochemical Scientist at EDF, and Dr. Eugene Won, a fish biologist and aquaculture specialist at Cornell University. The fellow will be part of a cohort of postdoctoral and research fellows at EDF, and will collaborate closely with research partners at Cornell University as well as other research institutions. Continued professional development, training and mentoring by EDF &amp; Cornell staff and partners will be provided.  Diversifying the next generation of sustainability scholars is a shared goal of Cornell Atkinson and EDF, and we strive to honor and value candidates’ identity and experiences. We value lived experience, and so we encourage all applicants to apply even if 100% of the listed qualifications are not met. Key Responsibilities Tasks may include but are not limited to: <ul> <li>Synthesize estimates of mesopelagic biomass and fishing potential in the selected regions. </li> <li>Synthesize nutrition content information on mesopelagic species to quantify the potential use of this fishery as an aquaculture feed commodity. </li> <li>Collaborate with biogeochemical modelers to weigh food provisioning estimates against carbon sequestration benefits. </li> <li>Develop an optimization analysis to characterize scenarios that maximize food security goals while minimizing climate impacts. </li> <li>Lead and participate in the preparation of manuscripts for publication in peer-reviewed journals. </li> <li>Develop communications materials including policy briefs, one-pagers, infographics, slide decks, blog posts, and social media posts. </li> <li>Present findings at scientific conferences and to decision-making and industry audiences. This could include participation in fora such as Regional Fisheries Management Organization Meetings, the 2025 UN Oceans Conference, or COP29/30.  </li> <li>Represent EDF and Cornell in external meetings with a high degree of professionalism. </li> <li>Participate in advancing EDF Diversity, Equity, and Inclusion (DEI) goals in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges in alignment with EDF values. </li> <li>Participate in the joint Cornell Atkinson and EDF Sustainable Leadership Program for postdoctoral fellows.</li></ul> Qualifications <ul> <li>A recent Ph.D. in a relevant field (e.g., biogeochemistry, fisheries science, marine ecology, sustainability science, natural resource management, natural resource economics, food systems modeling, nutrition, social-ecological systems). This position has the potential to weave together different disciplines, so we welcome candidates from diverse fields.   </li> <li>Quantitative analysis and/or modeling skills strongly desired, such as food web, biogeochemical cycling, economic, or statistical modeling; optimization or trade-off analyses; or systems analyses such as fuzzy cognitive mapping, network analysis, etc.</li> <li>Programming experience (e.g., R, Matlab, Python) desired.</li> <li>Data visualization skills are a plus.</li> <li>Ability to work with wide range of environmental (e.g., oceanographic, biogeochemical, wildlife management, ecological) and/or nutrition (e.g., proximate composition analysis) datasets is a plus. </li> <li>Demonstrate excellence in rigorous scientific analyses and in oral and written communication of scientific concepts, especially for public and policy audiences. </li> <li>A track record of relevant research and presentations at scientific conferences, including at least one peer-reviewed publication (or manuscript currently under review) on a related topic or using relevant quantitative methodology desired. </li> <li>Ability to work independently, using independent judgment and initiative to plan, prioritize, problem solve, and organize workload in a fast-paced environment. </li> <li>An interest and commitment to solving environmental problems based on rigorous science and solutions-focused approaches. </li> <li>Interest and ability to work in interdisciplinary collaborations.</li> <li>Must have the ability to travel domestically as needed.</li> <li>Demonstrate self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds. </li></ul> Application Materials  Interested applicants should attach a 2-page CV and a cover letter with their EDF application. The cover letter (&lt; 1000 words) should include a description of the candidate's relevant experience, their interest in the subject matter, and a brief statement of the candidate’s contribution and/or commitment to DEI. If applicable, please also provide reprints 1-3 of your most relevant and compelling publications (can include manuscripts in prep or in review, and scientific communication pieces).  <h2>Pay Ranges</h2>We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.The pay range for this role is shown below. Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency. <h2>Minimum Salary</h2>USD $68,250.00/Yr.<h2>Maximum Salary</h2>USD $68,250.00/Yr.<h2>EEO Information</h2>Environmental Defense Fund is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

Atkinson Postdoctoral Science Fellow

<h2>Overview</h2>Put your passion and skills to work for the planet. Climate change is the most urgent issue of our time, and we need people like you to help us build a vital Earth — for everyone. We’re Environmental Defense Fund, a fast-paced nonprofit with a growing staff of more than 1,000 people in nearly 30 countries. We deliver game-changing solutions that cut climate pollution and strengthen people’s ability to thrive despite the effects climate change is already having. We work wherever we can have the most impact, from local communities to top companies to governments worldwide, and even in space. Our culture, values and commitment to diversity make EDF an exciting and meaningful place to work. Every job here makes a difference. Won’t you join us?<h2>Responsibilities </h2>LocationThe Fellow will be based at Cornell University in Ithaca, NY with occasional travel to field locations within the Hudson Valley of New York.  TermThis is a 2-year fellowship with an anticipated start date of ASAP and no later than September 2024. Application MaterialsInterested applicants should attach their cover letter and resume to the EDF application, together with a peer-reviewed publication or manuscript in prep or in review. Program/Department Overview The Office of Chief Scientist (OCS) is the nexus of science at EDF, ensuring the science that is the backbone for all EDF policy positions is based on the best available information. To be most effective in this role, OCS works with staff from across EDF and provides programmatic support for all EDF scientists as well as fosters relationships with scientists in academia, government and industry. EDF has set the ambitious goal of reducing greenhouse gas emissions by 20% by 2030 through nature-based climate solutions. Reduced emissions from and increased carbon sequestration in croplands are necessary to meeting this goal. Improved understanding of mechanisms, measurement, and baselines will enable implementation of the most effective and credible climate solutions while also benefitting agricultural resilience, soil health and farmer livelihoods. We work to advance the scientific understanding of agricultural systems, and to translate the science into action through implementation of the most effective and credible climate solutions. Overall Function The Fellow will be closely engaged with the work of Cornell’s School of Integrative Plant Sciences’ Soil &amp; Crop Sciences Section, will participate in the joint EDF-Cornell Sustainability Leadership Program, join a thriving community of scientists across EDF, and participate in ongoing meetings with program and policy staff across the organization. The Fellow will be part of a collaborative team that spans multiple universities (Yale School of the Environment, Cornell School of Integrative Plant Science) and organizations (Hudson Carbon and Woodwell Climate Research Center), and will report directly to the co-P.I.’s (Drs. Emily Oldfield and Jocelyn Lavallee at EDF and Dr. Louis Longchamps at Cornell). This collaborative team is implementing a research project focusing on regional and field scale sampling designs for soil carbon sequestration in the Hudson Valley of New York State. The Fellow will couple high density soil carbon stock data with other data products related to soil series, topography, management, landscape and environmental covariates (e.g., soil survey data, remote sensing data products) to explore questions related to soil sampling designs, landscape stratification and data optimization for digital soil mapping in a regional agroecosystem. We anticipate the Fellow will lead the writing of at least one peer-reviewed publication, a white paper, one publication and one presentation for Extension, and will help curate an open-access database. Key Responsibilities Working with the co-P.I.’s, the Fellow will help refine and direct the scope of the study and assume leadership of the work in close collaboration with the larger project team.Tasks will include but are not limited to:<ul> <li>Research and analyze which environmental, landscape and management co-variates are most effective for stratifying agricultural fields to inform efficient sampling designs and improve sampling for soil organic carbon (SOC) estimation.</li> <li>Identify whether stratification of agricultural fields relevant to SOC spatial distribution can provide valuable information to farmers for crop management (e.g., site-specific management of fertilizers and/or links between yield history and soil health metrics).</li> <li>Evaluate trade-offs between precision and time/cost when comparing traditional soil sampling and analysis with field-based visible and near infrared (vis-NIR) approaches.</li> <li>Prepare digital soil carbon stock maps for participating farmers highlighting information relevant to farmers for crop management.</li> <li>Outreach and engage with participating farmers and stakeholders through Extension publication(s) and presentation(s).</li> <li>Assist in the generation and collation of an open-access database including soil sample analysis, spectroscopic measurements, biophysical covariates, and farm management data.</li> <li>Write at least one paper for publication in a peer-reviewed journal, and present project results at scientific workshops and conferences.</li> <li>Contribute to grant proposals, white papers, reports, fact sheets, policy briefs and blogs on pathways to scaling soil carbon stock measurement/monitoring, reporting, and verification.</li> <li>Facilitate project cohesion and collaborative research ties through organizing meetings, delivering casual presentations on research progress, and maintaining email contact with the project team.</li> <li>Supervise intern(s) associated to the project and support research teams with related projects as required.</li> <li>Participate in advancing EDF Diversity, Equity, and Inclusion (DEI) goals in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges in alignment with EDF values.</li> <li>Participate in the joint Cornell Atkinson and EDF Sustainable Leadership Program for postdoctoral fellows.</li></ul> Qualifications<ul> <li>A recent Ph.D. in soil science, digital agronomy, spatial statistics or related area.</li> <li>Strong analytical skills, including demonstrated experience with spatial statistics and interpolation.</li> <li>Experience with statistical computing (e.g., R or Python) and GIS analytics and software (e.g., ArcGIS or QGIS).</li> <li>A track record of relevant research and presentations at scientific conferences, including at least one peer-reviewed publication (or manuscript currently under review) on a related topic or using relevant quantitative methodology.</li> <li>Demonstrated excellence in rigorous scientific analyses and in oral and written communication of scientific concepts. </li> <li>Demonstrated interest in expanding expertise to new areas, and to the science-policy interface.</li> <li>Ability to communicate science-based insights to a range of stakeholders in the research, development, and policy communities.</li> <li>Aptitude and inclination towards creative problem solving with transdisciplinary approaches.</li> <li>Excellent written and oral communication skills.</li> <li>Well organized, motivated, and detail-oriented.</li> <li>Ability to multi-task, prioritize and meet deadlines.</li> <li>Ability to work independently, using independent judgment and initiative to plan, prioritize, problem solve, and organize workload in a fast-paced environment.</li> <li>Demonstrated self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds.</li> <li>Demonstrated initiative and problem solving skills.</li> <li>Ability to travel within the U.S. if interested in participating in field and lab work (up to 10 days per year over the term of this position).</li></ul><h2>Pay Ranges</h2>We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.The pay range for this role is shown below. Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency. <h2>Minimum Salary</h2>USD $68,250.00/Yr.<h2>Maximum Salary</h2>USD $68,250.00/Yr.<h2>EEO Information</h2>Environmental Defense Fund is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

Communications Coordinator, Congo Basin

Air Quality Science Co-Investigator

About the company  KoBold Metals is a mineral exploration company inventing AI to explore for the metals we need for a low-carbon economy. Our business is discovering and developing mineral resources, and our objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures. KoBold has built a fast-growing global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with majors, junior explorers, and prospectors. Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business. Prior to joining KoBold, our team members made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods. KoBold is privately held, and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP. About the position This role will be the second hire in the Financial Planning and Analysis (FP&amp;A) team. In this role, you will help create the foundation upon which the FP&amp;A team will grow, allowing it to support a rapidly expanding company. You will be a key partner to business and technical functions, working across the entire company to help forecast, model, and plan expenses and provide the necessary data and tools to support operational decision-making. You will help the operational data team and others within the finance organization create the data infrastructure and front-end tools needed to efficiently expand our scope and breadth as business operations become increasingly complex. Since KoBold is a startup company operating globally, your role will be dynamic and your role and responsibilities will grow as the company grows.   ResponsibilitiesThe FP&amp;A Analyst will:<ul><li>Track and report on financial performance to the executive team, other business leaders, and various external stakeholders (e.g. investors, financial institutions, etc.)</li><li>Work closely with mineral exploration project teams and develop a deep understanding of exploration activities, the underlying geoscience, how KoBold develops and deploys its exploration technology, and unique considerations (both financial and operational) when operating in jurisdictions ranging from the Arctic to southern Africa</li><li>Partner with exploration project leads and department heads to build and maintain budget forecasts, track actuals, and prepare monthly variance reporting</li><li>Create tools and processes to streamline budget creation and tracking</li><li>Help design the finance data infrastructure needed to support the automation and scaling of FP&amp;A and other finance activities</li><li>Conduct ad-hoc analyses as needed to support operational and strategic decision-making</li><li>Help build and maintain various financial models to forecast company performance, cash requirements, or specific project economics</li><li>Serve as finance subject matter expert for the implementation and optimization of various enterprise resource planning (ERP) business tools and applications</li></ul> QualificationsA great candidate will have:<ul><li>Bachelor’s degree in STEM fields, business, Finance, or Economics</li><li>3+ years of experience working in a dynamic fast paced environment like a growing technology company, consulting, banking, etc.</li><li>Strong Excel and SQL experience</li><li>Excellent communication and data presentation skills, including the ability to effectively communicate with both business and technical teams</li><li>Ideas about how to visualize and communicate finance and operations data across a multi-disciplinary organization</li><li>A high degree of independence and the ability to work effectively with limited supervision</li><li>A strong interest learning a lot about how mineral exploration works, how our technology improves exploration, and how exploration leaders can make better decisions with better information</li><li>Strong organizational skills and attention to detail</li><li>Flexibility to accommodate meetings with staff overseas and occasional travel</li><li>Interest in contributing broadly to the success of the company and eager to pitch in where needed</li></ul> It is helpful but not required to have experience:<ul><li>Building low-maintenance Business Intelligence reporting (e.g. Retool, Tableau) and integrating those tools into daily operations</li><li>Working with data operations teams on database architecture and maintenance</li><li>With Python</li></ul> KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is full-time, exempt. The US base salary range for this full-time exempt position is $105,000 - $135,000 Location: Remote, anywhere in the US or Canada.

FP&A Analyst

About the company  KoBold Metals is a mineral exploration company inventing AI to explore for the metals we need for a low-carbon economy. Our business is discovering and developing mineral resources, and our objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has built a fast-growing global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business. Prior to joining KoBold, our team members made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods.KoBold is privately held, and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP. About the positionIn this role, you will oversee all domestic and global tax compliance and tax planning for our company. You will oversee tax filings, reporting requirements, statutory filings, corporate strategy and structure, transfer pricing, indirect tax and other international taxation issues. You will provide guidance on tax laws, reporting, legislation and planning strategies as it relates to existing and potential jurisdictions. In a newly created role as leader of the tax group at the company, you will be both a direct contributor across many areas of domestic and international tax matters and will be responsible for helping to build the tax function at the company. Since KoBold is a startup company operating globally, your role will be dynamic and your role and responsibilities will grow as the company grows.   ResponsibilitiesThe Tax Director will:<ul><li>Oversee corporate tax structure and strategic tax planning for our company</li><li>Oversee tax compliance in multiple countries and jurisdictions</li><li>Interpret and implement domestic and treaty provisions in all countries where we operate</li><li>Review and approve transfer pricing calculations</li><li>Oversee the set up of tax accounts and manage relationships with external tax firms in countries where we operate</li><li>Oversee reporting for indirect taxes in multiple jurisdictions</li><li>Prepare tax provision and tax estimates</li><li>Provide support to International HR Manager for cross border employment issues</li><li>Oversee calculation and documentation of R&amp;D Credit and other tax credits and incentives</li><li>Proactively anticipate and communicate about tax matters that the company may face as our international operations and financing grow</li><li>Figure out what internal capacity we need to build and build a lean, high-performing team to accomplish it</li><li>Implement and maintain new processes as the company grows</li><li>Handle sensitive information in a confidential manner</li></ul> QualificationsA great candidate will have:<ul><li>Either a bachelor's degree in accounting and CPA certification, or a law degree</li><li>10+ years experience with recent experience in international tax accounting </li><li>Experience helping a company establish a presence in one or more new countries </li><li>Ability to understand and assess the tax impact of company operations in multiple jurisdictions</li><li>Strong organizational skills and attention to detail</li><li>The ability to quickly learn new tools as needed and to solve new problems continuously</li><li>A high degree of independence and the ability to work effectively with limited supervision</li><li>Propensity to figure out what needs to be done and pursue it without being asked</li><li>Flexibility to accommodate meetings with staff/vendors overseas</li><li>Interest in contributing broadly to the success of the company and eager to pitch in where needed</li></ul> It is helpful but not required to have experience with:<ul><li>Tax implications of stock option grants in multiple jurisdictions</li><li>Financial models incorporating strategic tax scenarios</li><li>Experience with technology or natural resource companies</li></ul> KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is full-time, exempt. The US base salary range for this full-time exempt position is $175,000 - $200,000 Location: Remote, anywhere in the US. Applicants should send a resume and cover letter to jobs@koboldmetals.com.

Tax Director

Consultant as Communications Specialist for Forest and Peat Monitoring

<h2>Overview</h2>Put your passion and skills to work for the planet. Climate change is the most urgent issue of our time, and we need people like you to help us build a vital Earth — for everyone. We’re Environmental Defense Fund, a fast-paced nonprofit with a growing staff of more than 1,000 people in nearly 30 countries. We deliver game-changing solutions that cut climate pollution and strengthen people’s ability to thrive despite the effects climate change is already having. We work wherever we can have the most impact, from local communities to top companies to governments worldwide, and even in space. Our culture, values and commitment to diversity make EDF an exciting and meaningful place to work. Every job here makes a difference. Won’t you join us?<h2>Responsibilities </h2>MethaneSAT, LLC, an affiliate of Environmental Defense Fund (EDF) is launching a new, high performance, purpose-built satellite—MethaneSAT—to map and measure oil and gas methane emissions worldwide, with the potential to assess emissions from the full range of man-made sources. The satellite will enable us to gather methane emissions data on a global scale and with data from other sources, locate and quantify these emissions. Data from MethaneSAT will help EDF reduce methane emissions by 45% by 2025 and holds the potential to help reduce the temperature of our planet by as much 0.5 degrees C by the end of the century. This could be the most impactful environmental project yet conceived. Overall Function  The Mission Planning Engineer will work with our stakeholders, scientists, engineers, and partners to support the successful operation of the MethaneSAT spacecraft to enable delivery of scientifically accurate and impactful data products to a global audience. The MethaneSAT Mission Operations are comprised of satellite command and control, health and safety monitoring, mission planning, and communications to operate the spacecraft in orbit. It will use cloud-based services to provide the computing, data archiving and operational interfaces between these functions. On-orbit commissioning operations are the responsibility of the flight systems integration contractor. Post commissioning operations will be transitioned to a New Zealand-based Mission Operations Center and team responsible for long-term MethaneSAT Mission Operations.The Mission Planning Engineer will own the day-to-day mission planning system and processes for MethaneSAT, incorporating stakeholder needs, engineering assessments and analysis of system performance to ensure the effective target collection by the mission. Working across several organizations, both internal and external, this position will strive to understand problems, build solutions, and collaborate with the MethaneSAT team to support efficient and productive mission operations. This position will report directly to the Sr. Director, Mission Systems for MethaneSAT, LLC, and will work closely with other MethaneSAT, LLC staff, key contractors, and EDF staff. Key Responsibilities  The Mission Planning Engineer will be responsible for the following:<ul> <li>Managing MethaneSAT daily mission planning operations in alignment with EDF, MethaneSAT, LLC and external stakeholder mission goals and objectives.</li> <li>Collaborating effectively with internal and external stakeholders to determine the needs for mission planning and distill these into processes and tools within the mission operations system.</li> <li>Navigating differing needs and priorities while working closely with the Science Team, Operations Leads, EDF, MethaneSAT, LLC and other stakeholders to achieve timely delivery of MethaneSAT mission planning products.</li> <li>Participating in stakeholder engagements, including demonstrating our mission planning process and presenting the roadmap for improvements in collaboration with the MethaneSAT team.</li> <li>Participating in advancing EDF DEI goals in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges in alignment with EDF values.</li> <li>To accomplish these, the Mission Planning Engineer will provide the overall oversight for mission planning to include:</li> <li>Ensuring the mission planning process and software are aligned and are working to a common set of mission objectives.</li> <li>Leading the development, improvement, and maintenance of the mission planning software within the mission operations system.</li> <li>Supporting pre-launch development and validation of the nominal mission planning software, procedures and contingency plans.</li> <li>Ensuring the capture and resolution of testing, technical, and operational anomalies and issues within the mission planning system.</li> <li>Supporting the successful transition from flight systems integrator-led to New Zealand-led mission operations. </li></ul>Qualifications<ul> <li>Bachelor’s degree in a science or engineering discipline with at least 6 years’ experience; MS in a science or engineering discipline preferred (MS can substitute for up to 2 years’ experience).</li> <li>At least 4 years of scientific or earth remote sensing satellite systems engineering, system development and operations experience with demonstrated progressive responsibility.</li> <li>Past or current experience in satellite mission operations. Specific experience in mission planning and/or satellite attitude control preferred.</li> <li>Experience in software development in one or more languages. Experience working in R, python and Linux preferred.</li> <li>Ability to conceptualize and work through complex technical problems.</li> <li>Demonstrates self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds.</li> <li>Demonstrated experience collaborating with colleagues and partners of varied backgrounds and experience.</li> <li>Excellent communication skills including presentation skills required.</li> <li>Strong ability to work independently on a multi-disciplinary team, using independent judgment required to plan, prioritize, and organize diversified workload.</li> <li>Affinity for a fast-paced work environment.</li> <li>Must be a US person (citizen, green card holder); MethaneSAT, LLC is unable to offer employer-based sponsorship for this role at this time</li></ul><h2>Pay Ranges</h2>We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.The pay range for this role is shown below. Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency. <h2>Minimum Salary</h2>USD $138,000.00/Yr.<h2>Maximum Salary</h2>USD $146,000.00/Yr.<h2>EEO Information</h2>Environmental Defense Fund is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

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