Climate Data & Modeling Intern - Fall

2 Months ago

Owensboro, Kentucky, United States

Remote

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Job Description

The Climate Data & Modeling Intern position at Eco Data Lab involves developing Python tools for analyzing greenhouse gas emissions data, suitable for students or recent graduates. Interns will work on projects related to climate policy and data analysis, with a preference for candidates in or around Oakland, CA. The position is open to candidates anywhere in the US and offers flexible hours, with compensation ranging from $19-30 per hour.
Position: Climate Data & Modeling Intern - Fall 2025 Climate Data & Modeling Intern - Fall 2025 Firm OverviewEco Data Lab ( ) is a climate policy consulting firm. Our mission is to address climate change by massively scaling data science solutions.We leverage state-of-the-art research, data, and technology to provide comprehensive greenhouse gas analyses. Eco Data Lab is developing new approaches to understand and reduce these emissions, and building advanced software tools to make this data actionable for state and local policymakers.Position OverviewEco Data Lab is looking for 1-3 interns to work on greenhouse gas emissions data, modeling, and analysis projects in Fall 2025. This is an opportunity for a current student or recent graduate to work on data, software, and climate policy simultaneously.The Climate Data & Modeling Intern will:Develop Python tools for tracking and modeling greenhouse gas emissions and environmental flows throughout the US economy.Collect, transform, and analyze a range of economic, demographic, geographic, environmental, census, and other data.Projects may include:Developing regression models to predict household vehicle miles traveled from national survey data.Using EPA data tools to generate datasets evaluating the relative emission intensities of different industries by state.Building out visualizations and automated reporting systems for cities to understand and evaluate climate mitigation strategies.Ideal CandidateThe ideal candidate will have:Climate action, environmental policy, and/or climate advocacy experience.Strong communication and interpersonal skills.Ability to work both independently and as part of a remote team.Knowledge of how to responsibly and effectively leverage generative AI tools (e.g. ChatGPT, Cursor, Claude, etc.).We expect the successful candidate to have many of the above qualifications and an interest in learning the others. We provide opportunities to learn new skills on the job, and encourage candidates who meet a variety of the above qualifications to consider applying.Eco Data Lab is unable to sponsor visas at this time. Candidates must have US work authorization.Compensation and BenefitsThe anticipated hourly rate is $19-30 per hour, based on experience. This position is full-time (40 hours/wk) for recent graduates or part-time (10-20 hours/wk) for current students. Interns are expected to follow a regular weekday schedule with at least 5 hours overlap with 9am – 5pm Pacific time.This position is open to candidates anywhere in the US, with preference for candidates in or around Oakland, CA. Interns may be eligible for benefits, including:Paid sick leave and vacation time.401k with employer match.Health, vision, and dental coverage.How to ApplySubmit a complete application, including a resumé with a Git Hub link or other coding sample, and a cover letter or other writing sample. Strong applications will highlight both environmental and programming experience and reflect an understanding of the company's work.The first review of applications will occur on August 15, 2025. The position may close at any time after the first review date.Eco Data Lab is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, marital status, disability, medical condition, genetic information, retaliation, veteran or military service, or any other non-merit factor or basis protected by law. If you need assistance or accommodation due to a disability, you may contact us at .#J-18808-Ljbffr

International Society For Industrial Ecology


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