1

Environmental Data Science Jobs in California (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Extensive Data Science experience preferably in different environments. * Experience in building Data Science product and putting it into production. * Ability to define and implement a global Data ...

Establish trust within and across teams by creating accountability and a positive work environment ... high output Data Science teams, with at least 2 years managing other managers * 7+ years of ...

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning ... within a team environment and present technical information to varied audiences. * Effective ...

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience in startup or high-growth environments Tapestry Values: * Take charge: We take ...

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience in startup or high-growth environments Tapestry Values: * Take charge: We take ...

Data Science Engineer

Livermore, CA

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning ... within a team environment and present technical information to varied audiences. * Effective ...

We have multiple openings for a Data Science Engineer with a background in applied machine learning ... within a team environment and present technical information to varied audiences. * Effective ...

We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. As Vice President of Data Science, you will lead and grow our in-house data science ...

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Experience building and deploying data products in production environments * Hands-on experience ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Experience building and deploying data products in production environments * Hands-on experience ...

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits * Nice to have:

next page

Showing results 1-20

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 15, 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 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:

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 Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 9 days ago


Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.