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Environmental Data Science Jobs in California (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

... startup environment. Program Details: Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science ...

Walmart

(USA) Director, Data Science

Milpitas, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... technology-driven environment. About the team: The team is committed to enhancing customer ...

New

Walmart

(USA) Director, Data Science

Mountain View, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... technology-driven environment. About the team: The team is committed to enhancing customer ...

New

Walmart

(USA) Director, Data Science

Hayward, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... technology-driven environment. About the team: The team is committed to enhancing customer ...

New

Evolver

Applied Data Science Intern

Palo Alto, CA

... startup environment. Program Details: Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science ...

Walmart

(USA) Director, Data Science

Sunnyvale, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... technology-driven environment. About the team: The team is committed to enhancing customer ...

New

Walmart

(USA) Director, Data Science

San Jose, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... technology-driven environment. About the team: The team is committed to enhancing customer ...

New

Walmart

(USA) Director, Data Science

San Mateo, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... technology-driven environment. About the team: The team is committed to enhancing customer ...

New

Walmart

(USA) Director, Data Science

Fremont, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... technology-driven environment. About the team: The team is committed to enhancing customer ...

New

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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 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 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 Leader

Tiger Analytics Inc.

California City, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for a Senior Manager / Associate Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.
Responsibilities:
  • Own and drive end-to-end data science workstreams from problem definition to production and impact measurement.
  • Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms.
  • Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps.
  • Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling.
  • Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
  • Present insights and solutions to business leaders, demonstrating impact and value.
  • Manage analytics projects and coordinate with global client and Tiger teams.
  • Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
  • Partner with technical teams to select appropriate analytical methods and generate actionable insights.
  • Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements
  • 12 - 15 years of professional experience in Data Science, Applied ML, or Advanced Analytics, with leadership at scale..
  • Must have experience working on traditional ML Models. Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
  • Strong hands-on expertise in Python, SQL, and statistical modeling.
  • Familiarity with data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran).
  • Strong understanding of cloud-native data and ML platforms (AWS, GCP, Azure).
  • Excellent communication skills with the ability to influence Director+ stakeholders.
  • Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness.
  • Ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards.
  • Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches.
  • A solid understanding of statistical and machine-learning algorithms is a plus.
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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