Data Scientist, Energy/Air Quality

Long Duration Energy Storage Council (LDES Council)

Data Scientist at CREA analyzing energy and air pollution data. Collaborating with teams to produce timely, policy-relevant insights for clean energy and air quality.

Posted 7/18/2026contractRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, data integration, and visualization, with a strong foundation in programming languages such as Python and R. Capable of producing robust, reproducible analyses and developing analytical tools to support research in energy systems and public policy.

Highest-signal resume keywords

Quantitative AnalysisData VisualizationPython ProgrammingR ProgrammingData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisData IntegrationData VisualizationStatistical AnalysisProgramming in PythonProgramming in RAI Tools UsageVersion Control (Git)Dataset DevelopmentRobust Methodology Documentation

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Industry Keywords

Energy SystemsPublic PolicyResearchConsultingEconomicsStatisticsComputer Science

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Conduct fast-paced quantitative analyses in response to pollution episodes, energy market developments and other policy-relevant events, identifying impactful and policy-relevant findings.
Integrate, clean and analyse diverse proprietary, in-house and open datasets.
Produce reproducible code, robust methodology documentation, and reusable datasets.
Develop clear and effective data visualisations that communicate analytical insights.
Support research by combining quantitative analysis with domain expertise and desk research.
Develop new datasets, analytical tools and data products to strengthen CREA's research capabilities.
Work closely with colleagues to shape research questions and identify the most important analytical findings.
Contribute to reports, briefings and other research outputs by ensuring analyses are robust, transparent and reproducible.

Requirements

What you’ll need

Higher education or equivalent professional experience in data science, economics, engineering, statistics, computer science, energy systems or a related quantitative discipline.
At least 3 years of experience analysing large and complex datasets in a research, consulting, public policy, or commercial environment.
Demonstrated ability to produce clear, accurate, reproducible and robustly documented quantitative analyses, including using AI tools.
Experience creating effective charts and data visualisations for technical and non-technical audiences.
Strong analytical and problem-solving skills, with the ability to work independently on open-ended research questions.
Strong programming skills in Python or R and at least basic knowledge of both.
Basic command of version control (e.g. Git).
Good written and spoken English.

Benefits

Comp & perks

A remote & time-flexible working environment
Remuneration based on skills & experience, competitive with standard pay in your region
Health insurance
Membership to a co-working space
Potential to work full-time or part-time, depending on the candidate
A meaningful and potentially very impactful mission