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Climate Data Science Jobs in California (NOW HIRING)

Watershed

Software engineer, full-stack

San Francisco, CA · On-site

$130 - $190/hr

Collaborate with product, design, climate science, and data science to build and iterate on software that helps our customers understand their climate data You might be a fit if you: * Have 4+ years ...

Slalom Build

Slalom Flex - Climate Analyst

Los Angeles, CA · On-site

$68.88 - $110.21/hr

The Climate Analyst supports the Climate Scientist by translating climate and hazard data into actionable insights that strengthen preparedness, response, and recovery. The role focuses on predictive ...

Waymo

Staff Data Scientist, Weather

San Diego, CA

In this hybrid role you will report to the Data Science Lead for Driving Quality & Scope Expansion ... Develop scalable and repeatable analysis frameworks that support multiple climate types, both ...

Waymo

Staff Data Scientist, Weather

Mountain View, CA · On-site

$251K - $310K/yr

In this hybrid role you will report to the Data Science Lead for Driving Quality & Scope Expansion ... Develop scalable and repeatable analysis frameworks that support multiple climate types, both ...

Slalom Consulting

General Information

Los Angeles, CA · On-site

$58 - $88/hr

In this role, you will apply advanced data science, modeling, and machine learning techniques to analyze climate and weather data, helping the utility better understand and prepare for climate and ...

Sofar Ocean

Science Engagement Lead

San Francisco, CA · On-site

$80K - $115K/yr

You will bridge science and storytelling, creating ideas that resonate globally and spark ... Translate complex ocean and climate data into engaging narratives for digital and live platforms ...

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Climate Data Science information

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.

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 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.

What are popular job titles related to Climate Data Science jobs in California?

For Climate Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Climate Data Science jobs in California look for?

The top searched job categories for Climate Data Science jobs in California are:

What cities in California are hiring for Climate Data Science jobs?

Cities in California with the most Climate Data Science job openings:

Climate Data Science jobs near you
Infographic showing various Climate Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Climate Data Scientist, Sustainability

San Francisco, CA • On-site

Watershed Technology, Inc
See more jobs at Watershed Technology, Incexternal

$193K - $202K/yr

Full-time

Posted 3 days ago

New

Job description

About Watershed
Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.
We have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us!
The role
Domain expertise in the science of sustainability is the foundation upon which Watershed is built. On the Methodology team, we work at the nexus of corporate sustainability, sustainability science, data, and software - developing the methods that turn raw business data into auditable sustainability data and actionable sustainability insight.
This is a technical, hands-on, and highly collaborative role. You'll work closely with software engineers, data scientists, and product managers to build and maintain Watershed's industry-leading built-in methodologies: keeping them up to date with the latest scientific developments and standards, developing pragmatic and innovative approaches to emerging challenges, and maintaining our high bar for scientific rigor and integrity.
This is an applied science role, where your knowledge and expertise will become product capabilities used by companies to understand and reduce their real-world impact. You'll need to understand not only the scientific fundamentals of sustainability, but also how they apply across business contexts, sectors, data realities, legislation, and standards. Great corporate sustainability programs that drive real change are built on credible, accessible, and actionable data - this is our North Star.
You will
  • Develop, maintain, and improve Watershed's built-in sustainability methodologies, translating sustainability science, GHG accounting standards, and emerging regulatory requirements into robust product logic.
  • Partner closely with software engineers, data scientists, and product managers to design methodology features that are scientifically rigorous, auditable, scalable, and intuitive for customers.
  • Work directly in and around the codebase: reviewing methodology implementations, writing clear technical specifications, contributing configuration or logic where appropriate, and helping build tests that give us confidence in scientific correctness.
  • Interpret evolving standards and guidance - including the GHG Protocol, sustainability reporting frameworks, and sector-specific methodologies - and determine how they should be reflected in Watershed's product.
  • Investigate complex customer and product questions where sustainability science, data quality, accounting rules, and business context intersect.
  • Build pragmatic approaches for messy real-world business data, balancing scientific rigor with usability, auditability, and customer impact.
  • Collaborate with our go-to-market and customer-facing teams to explain methodology choices clearly to customers, auditors, and other stakeholders.
  • Help set the bar for scientific quality across Watershed by documenting decisions, reviewing methodology changes, and contributing to our internal methodology standards.
You might be a fit if you
  • Have a Master's or PhD in climate science, environmental science, sustainability, industrial ecology, or another relevant quantitative field.
  • Have 5+ years of experience in corporate sustainability, sustainability consulting, carbon accounting, climate strategy, or a related field - ideally working with large, complex organizations.
  • Are a systems thinker who can zoom out to understand interconnected sustainability and business systems, then zoom in to identify high‑leverage technical solutions and anticipate unintended impacts.
  • Have deep knowledge of both the application of, and reasoning behind, prevailing GHG accounting standards and sustainability reporting frameworks - at minimum the GHG Protocol Corporate Standard and Scope 3 Standard; familiarity with the GHG Protocol Land Sector and Removals Guidance and updated ESRS is a plus.
  • Able to work in a Python codebase. This is not a software engineering role, but you should be comfortable reading code, reasoning about implementation details, and making contributions to the codebase.
  • Can communicate complex ideas clearly to a wide range of audiences, including scientific experts, academics, verifiers, auditors, customers, internal business stakeholders, software engineers, and data scientists.
Bonus points
  • Experience building or maintaining carbon accounting methodologies, emissions factor datasets, LCA models, or sustainability software.
  • Familiarity with assurance or audit processes for GHG inventories or sustainability disclosures.
  • Comfort working with data using Python, SQL, Typescript, or similar tools.
  • Experience translating complex standards or scientific methods into operational guidance, technical specifications, or product requirements.
  • Experience working with engineers to translate scientific methods into tested, production-grade software.

Must be willing to work from an office 4 days per week (except for remote roles)
Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.
What's the interview process like?
It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.
What if I need accommodations for my interview?
At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

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