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Climate Data Science Jobs (NOW HIRING)

Lead End-to-End Data Science Projects: Own and drive projects from problem definition through ... Experience in energy, climate tech, or related domains (not required) * Familiarity with ...

Data Scientist

San Francisco, CA · On-site

$146K - $172K/yr

Lead End-to-End Data Science Projects: Own and drive projects from problem definition through ... Experience in energy, climate tech, or related domains (not required) * Familiarity with ...

Lead End-to-End Data Science Projects: Own and drive projects from problem definition through ... Experience in energy, climate tech, or related domains (not required) * Familiarity with ...

... climate resilience, security, and humanitarian response. Through survey research, geospatial ... We are seeking candidates with a strong data science background and experience working in highly ...

New

... Climate Neutral Certified company. Join us as we bring healthy and sustainable living to millions of Americans in the years to come. THE ROLE At Thrive Market, our ML (Data Science) team drives ...

... Climate Neutral Certified company. Join us as we bring healthy and sustainable living to millions of Americans in the years to come. THE ROLE At Thrive Market, our ML (Data Science) team drives ...

... Climate Neutral Certified company. Join us as we bring healthy and sustainable living to millions of Americans in the years to come. THE ROLE At Thrive Market, our ML (Data Science) team drives ...

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Climate Data Science information

How do climate data scientists typically collaborate with interdisciplinary teams to address complex environmental challenges?

Climate data scientists frequently work alongside meteorologists, ecologists, policy experts, and software engineers to analyze and interpret large datasets related to climate patterns and environmental impacts. Collaboration is key, as insights from different disciplines help ensure that the models and analyses are both scientifically robust and actionable for real-world decision making. Team members often hold regular meetings to discuss data sources, share findings, and align on research goals, which helps to bridge knowledge gaps and foster innovative solutions to climate-related problems.

What is climate data science?

Climate data science is an interdisciplinary field that uses statistical, computational, and analytical methods to gather, process, and interpret data related to the Earth's climate. Professionals in this area work with large datasets from sources like satellites, weather stations, and climate models to identify trends, make predictions, and inform policy decisions. Their work supports research on climate change, helps organizations adapt to environmental shifts, and contributes to the development of sustainable solutions.

What are the key skills and qualifications needed to thrive as a Climate Data Scientist, and why are they important?

To thrive as a Climate Data Scientist, you need strong analytical skills, a background in statistics or environmental science, and proficiency in programming languages such as Python or R, often supported by a relevant degree. Familiarity with climate modeling tools, geospatial analysis software (like ArcGIS or QGIS), and data visualization platforms is typically required. Excellent problem-solving abilities, collaboration, and clear communication are crucial soft skills for translating complex data into actionable insights. These skills enable accurate interpretation of climate data, effective teamwork, and impactful communication of findings to inform climate policy and research.
More about Climate Data Science jobs
What cities are hiring for Climate Data Science jobs? Cities with the most Climate Data Science job openings:
What states have the most Climate Data Science jobs? States with the most job openings for Climate Data Science jobs include:
Infographic showing various Climate Data Science job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Senior Data Scientist

Full-time

Re-posted 10 days ago


Job description

Overview

FTI is hiring a Data Scientist to support the Naval Safety Command in Norfolk, VA.  As a member of the data science team, you will be working in a hybrid work environment to support the development, testing, and deployment of a series of advanced predictive analytics models using big data sets that will help diagnose and predict precursors to Naval mishaps and safety hazards.   In this role, you will collaborate within a diverse program team comprised of FTI team members as well as Active-Duty Military and Government civilian employees.  This position is on-site at the Naval Safety Command Center in Norfolk, VA.   The candidate may also have space in the FTI Chesapeake office.

Responsibilities
  • Support in the development of a portfolio of predictive risk models to estimate mishap risk for individual Navy communities. Leverage these models to identify areas of operational optimization and monitoring to reduce the risk of mishaps. 
  • Work in a collaborative environment to provide training to qualified Government personnel in the building, maintaining, and refining the portfolio of predictive analytics models. 
  • Assist with the collection and organization of multiple data types, including but not limited to manning, maintenance, readiness, operational tempo, command climate, and incident reports.
  • Apply data science and inductive reasoning approaches to analyze this data and to find patterns to safety mishaps to allow senior leadership to implement risk mitigation measures. 
  • Participate in technical interchange meetings, analytical update meetings, program management reviews, and other meetings as required.
Education/Qualifications
  • Must have an active U.S. Department of Defense Secret Clearance.
  • 6+ years of data science experience with a Bachelor's Degree in Business Analytics, Mathematics, Computer Science, or related field.
  • 4+ years of coding experience in Python, R, or a similar language.
  • Excellent verbal and written communication skills.
Employment Type: FULL_TIME