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Environmental Data Science Jobs in California (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

DEUNA

Data Science intern

San Francisco, CA · On-site

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

  • Retirement

... environment and present technical information to varied audiences. Qualifications We Desire ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

  • Retirement

... environment and present technical information to varied audiences. Qualifications We Desire ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... Ability to work effectively both independently and in team environments * Ability to present ...

Bristol Myers Squibb

Associate Director, Data Science

Brisbane, CA · On-site

$71K - $71K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment ... We are looking for a seasoned data scientist with a strong computational, statistical, and ...

New

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Analyst to join the Data Science team ... In this role, you will work in a fast-paced environment with diverse data sets and technologies to ...

Tatari

Data Science Analyst

San Francisco, CA

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Analyst to join the Data Science team ... In this role, you will work in a fast-paced environment with diverse data sets and technologies to ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will report into Director, Data Science on our Merchant Analytics team in our Analytics ... in a fast-moving environment. * Scale reusable analytics frameworks, tools, models, and best ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Analyst to join the Data Science team ... In this role, you will work in a fast-paced environment with diverse data sets and technologies to ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Analyst to join the Data Science team ... In this role, you will work in a fast-paced environment with diverse data sets and technologies to ...

Odesus

Manager of Data Science

Burbank, CA · On-site

$67.31/hr

Our Data Science team works very closely with Sales and Marketing, and in this position you will ... You should be comfortable in a fast-moving environment and able to balance scheduled deliverables ...

Dexcom, Inc.

Manager Data Science

San Diego, CA · On-site +1

We operate in a fast-paced, mission-critical environment where reliability, efficiency, and timely escalations are paramount. As part of the Data Science and Engineering team, this role combines ...

ServiceTitan

Director, Data Science

Glendale, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Own the data science and applied AI roadmap for operations-agentic systems, forecasting, lead ... Comfort operating in a fast-moving, data-rich environment where decisions carry real operational ...

Dexcom

Manager Data Science

San Diego, CA · On-site

We operate in a fast-paced, mission-critical environment where reliability, efficiency, and timely escalations are paramount. As part of the Data Science and Engineering team, this role combines ...

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Showing results 21-40

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in California

Environmental Data Science information

See California salary details

$37K

$121.1K

$193.9K

How much do environmental data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for environmental data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

What is environmental data science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

What is the difference between Environmental Data Science vs Environmental Data Analyst?

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

What are the key skills and qualifications needed to thrive as an environmental data scientist, and why are they important?

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.

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

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

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

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

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

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

Environmental Data Science jobs near you
Infographic showing various Environmental Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Data Science intern

DEUNA

San Francisco, CA

Internship

Re-posted 19 days ago

Job description

About DEUNA 
 
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
 
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
 
Visit https://www.deuna.com/ to learn more about us!

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.

Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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