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Climate Data Science Jobs in California (NOW HIRING)

Verse

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 ...

Verse

Data Scientist

San Francisco, CA

$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 ...

Verse

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 ...

Thrive Market

Senior Data Scientist

Los Angeles, CA · On-site +1

... 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 ...

Thrive Market

Senior Data Scientist

Vista, CA · On-site +1

... 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 ...

Thrive Market

Senior Data Scientist

Los Angeles, CA · On-site +1

... 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 ...

Verse

Senior Data Scientist

San Francisco, CA

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

Verse

Senior Data Scientist

San Francisco, CA · On-site

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

Verse

Senior Data Scientist

San Francisco, CA · On-site

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

Aircapture

Senior Data Engineer

Berkeley, CA · On-site

$130K - $176K/yr

... Data Science, or a related field • Bonus: experience with industrial data systems (Ignition, SCADA, time-series), BI tools, or climate/energy domain Company : AirCapture develops an on site and ...

ClimateAi

Data Engineer I

San Francisco, CA

$115K - $145K/yr

You'll build and maintain the pipelines that turn raw climate, weather, and agronomic data into trusted, reliable datasets used every day by Data Science, ML Engineering, and Product. This is an ...

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All JobsClimate Data Science JobsClimate Data Science Jobs in California

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.
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 June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Data Scientist

Verse

San Francisco, CA • On-site

$146K - $172K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Location: San Francisco, CA (Hybrid)
What is Verse?
Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical.
Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence-replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.
The Role
Verse is seeking a Data Scientist to join our Data Science Team. In this role, you will lead the development and deployment of advanced data-driven solutions across a range of applications, including electricity markets, renewable procurement, and energy risk management. You will shape the machine learning and data modeling foundations that Verse's software is built on. For example, you might spend a cycle deploying electricity market price forecasting pipelines for new regions, developing solar production anomaly detection models, or creating scalable tools for benchmarking energy project financial performance.
Key Responsibilities
  • Lead End-to-End Data Science Projects: Own and drive projects from problem definition through scoping, modeling, validation, and production deployment. Translate business problems into scalable, high-impact modeling solutions.
  • Statistical & Machine Learning Modeling: Design, develop, and refine statistical and machine learning models (e.g., time series forecasting, probabilistic models) to support decision-making and enhance product capabilities.
  • Analytics Engineering & Data Modeling: Perform complex data transformations and develop well-structured data models. Translate business and analytical requirements into scalable, tested, and well-documented datasets.
  • Software Development & Productionization: Write clean, efficient, and maintainable Python code. Contribute to integrating models into production systems in a cloud-based environment while leveraging AI coding tools to accelerate development.
  • MLOps: Contribute to Verse's machine learning modeling infrastructure to support scaling of ML models and improving reliability, monitoring, and performance in production.
  • Cross-Functional Collaboration: Partner with product, engineering, and business stakeholders to ensure models and insights are aligned with user needs and effectively integrated into workflows.

What We're Looking For (Minimum Qualifications)
  • Master's degree in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field and 2+ years of professional experience in data science or machine learning; or
  • Bachelor's degree and 4+ years of professional experience in data science or machine learning
  • Strong foundation in statistical modeling and machine learning, including time series forecasting and model evaluation
  • Experience deploying and maintaining models in cloud-based environments (e.g., AWS, GCP, or Azure) using MLOps practices
  • Strong Python expertise, including experience with scientific computing and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
  • Hands-on experience in orchestrating complex data transformations (e.g. Airflow, Dagster, dbt)
  • Strong software engineering practices (version control, testing, code reviews, CI/CD)
  • Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders

What Will Make You Standout (Preferred Qualifications)
  • Experience in energy, climate tech, or related domains (not required)
  • Familiarity with optimization methods or operations research
  • Experience developing probabilistic forecasting models and quantifying uncertainty
  • PhD in a quantitative field

What Makes Verse a Great Place to Work?
  • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
  • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
  • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
  • Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range
$146,000 - $172,000
This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
Benefits and Employee Perks
  • Competitive compensation and equity grant at a high-growth start up
  • Comprehensive benefits package including medical, dental and vision insurance, and 401k
  • Flexible hours and unlimited PTO
  • Diverse and inclusive working environment

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

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