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Climate Data Scientist Jobs (NOW HIRING)

Clarasight

Data Scientist

Boston, NY · On-site +1

You move fluidly between data science, prototyping, and product thinking, and you're just as ... Working among a diverse, expert team at the forefront of climate tech, behavioral change, and ...

IQUASAR LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... climate/environmental informatics. Work will involve developing machine learning models that ... Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt ...

iQuasar LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... climate/environmental informatics. Work will involve developing machine learning models that ... Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt ...

Pearl Certification

Data Scientist

$155K - $175K/yr

About the role Pearl is seeking a Data Scientist to lead advanced research and predictive modeling ... Evaluate opportunities to integrate climate risk data into the SCORE, to improve predictive ...

Seeds Renewables

January 6, 2026 Rhodium Group is looking for an entrepreneurial and talented Research Analyst to join our world-class team of climate scientists, policy analysts, and data and software engineers. As ...

Lynker Corporation

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate ... Responsibilities Duties of the Environmental Data Scientist will include the following: * Data ...

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How much do climate data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for climate data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a climate data scientist?

A Climate Data Scientist analyzes large datasets related to climate and environmental changes to identify patterns, make predictions, and support decision-making. They use statistical models, machine learning, and data visualization techniques to assess climate trends, extreme weather events, and environmental risks. Their work often supports policymakers, researchers, and organizations in mitigating climate change impacts and developing sustainable solutions.

What does a climate data scientist do?

Climate Data Scientists typically work on projects such as analyzing large climate datasets, developing predictive models for weather or environmental trends, and visualizing data to support scientific or policy reports. Day-to-day tasks may include cleaning and processing data, running simulations, and collaborating with other scientists or policy experts. There’s also a strong focus on communicating findings to both technical and non-technical audiences, often as part of a multidisciplinary team. This variety ensures that each day brings new challenges and opportunities to contribute to impactful environmental solutions.

What are the key skills and qualifications needed to thrive as a climate data scientist?

To thrive as a Climate Data Scientist, you need a strong background in statistics, environmental science, and programming, often supported by an advanced degree in a related field. Expertise with data analysis tools like Python, R, machine learning libraries, and experience with geospatial systems such as GIS is highly valued. Strong problem-solving, communication, and collaboration skills help you interpret complex climate data and convey insights to diverse stakeholders. These abilities are crucial for effectively turning vast climate datasets into actionable information that drives environmental research and policy decisions.

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What cities are hiring for Climate Data Scientist jobs?

Cities with the most Climate Data Scientist job openings:

What are the most commonly searched types of Climate Data Scientist jobs?

The most popular types of Climate Data Scientist jobs are:

What states have the most Climate Data Scientist jobs?

States with the most job openings for Climate Data Scientist jobs include:

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Climate Data Scientist jobs near you
Infographic showing various Climate Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Boston, NY • On-site, Remote

Clarasight
See more jobs at Clarasightexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Key responsibilities

  • Design and develop product prototypes based on financial and travel spend analysis and client data.

  • Lead data integration efforts across diverse sources and formats to ensure clean, reliable datasets.

  • Explore and implement advanced techniques like machine learning and large language models to improve financial analytics tools.

Job description

About Us
Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.
About You
You are a builder at heart - curious, analytical, and energized by turning complex financial and travel data into tools that people actually use. You move fluidly between data science, prototyping, and product thinking, and you're just as comfortable exploring a messy dataset as you are shipping a prototype into customers' hands. You thrive on iteration, customer feedback, and the challenge of making advanced techniques - including machine learning and LLMs - deliver real, measurable value.
About the Role
  • We are seeking a Data Scientist to create product prototypes that address customer needs and enhance platform capabilities.
  • This role translates analytical insights into actionable tools, using advanced data techniques and customer feedback to shape what ships next.
  • You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product.
Key Responsibilities
Prototype & Product Development
  • Design and develop product prototypes based on financial and travel spend analysis and client data.
  • Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers.
  • Iterate on prototypes based on customer feedback to refine and improve usability.
  • Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes.

Data Integration & Insight Generation
  • Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features.
  • Leverage customer datasets to identify trends, generate insights, and create impactful solutions.
  • Collaborate with advisory and forecasting specialists to integrate insights into product design.

Advanced Techniques & Visualization
  • Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization to improve the accuracy, speed, and efficiency of financial analytics tools.
  • Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format.
You'll Be a Great Fit If You...
  • Have experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management.
  • Have expertise in data integration - including ETL pipelines, API connections, and harmonizing data across multiple systems and formats.
  • Are proficient in Python, R, or JavaScript for data analysis and tool development.
  • Are familiar with building and testing product prototypes in an iterative environment.
  • Have strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling.
  • Have experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions.
  • Can communicate complex concepts to non-expert audiences effectively.
Nice to Haves
  • Experience working alongside AI systems and applying human judgment to automated outputs.
  • Hands-on experience with LLMs or ML models applied to financial or spend data.
  • Familiarity with corporate travel, expense, or emissions datasets.
  • Experience shipping prototypes into production alongside engineering teams.
Diverse Perspectives
We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team.
We Offer
  • Generous options in our early stage startup for key members of the team.
  • Working among a diverse, expert team at the forefront of climate tech, behavioral change, and people technology.
  • Opportunity to make a foundational contribution to our mission: close the gap between climate-related intention and action.
  • Remote and Hybrid work environments.
  • Robust benefits including full medical, dental and vision insurance, 401k (or similar retirement programs) and sustainability benefit ($500 annually to spend on increasing personal sustainability).

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