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Data Scientist Jobs in California (NOW HIRING)

Covalent Corp.

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Role Overview We are seeking a Data Scientist to work at the intersection of laboratory science and data-driven software systems. This role is in our software organization and collaborates closely ...

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months. CLARA analytics is looking for extraordinary data ...

PROPRIUS

Data Scientist

Sunnyvale, CA · On-site

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you an experienced Data Scientist with 2+ years' experience who likes solving complex problems? Do you ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he should be as excited as we are to create human-centered AI products poised for rapid growth and ...

Skechers

Data Scientist

Manhattan Beach, CA

The Data Scientist will join our Data and Analytics team, reporting to Sr. Director, BI and Reporting. This role will focus on building advanced analytics solutions utilizing data science, AI and ML ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he should be as excited as we are to create human-centered AI products poised for rapid growth and ...

Skechers

Data Scientist

Manhattan Beach, CA · On-site

The Data Scientist will join our Data and Analytics team, reporting to Sr. Director, BI and Reporting. This role will focus on building advanced analytics solutions utilizing data science, AI and ML ...

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months. CLARA analytics is looking for extraordinary data ...

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

ABOUT THE ROLE We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products. The role ...

Skechers

Data Scientist

Manhattan Beach, CA · On-site

The Data Scientist will join our Data and Analytics team, reporting to Sr. Director, BI and Reporting. This role will focus on building advanced analytics solutions utilizing data science, AI and ML ...

Clay Labs

Data Scientist

San Francisco, CA · On-site

$170K - $300K/yr

Data Scientist @ Clay We're looking for a Data Scientist to join Clay's Data Science and Analytics team. You'll be durably embedded with a partner team-Product, Marketing, Sales, Finance, or ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

Bee Genius is building the future of work, and they are seeking a talented Data Scientist to join their team. In this role, you will analyze large datasets, develop predictive models, and extract ...

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Showing results 21-40

All JobsData Scientist JobsData Scientist Jobs in California

Data Scientist information

See California salary details

$37K

$121.1K

$193.9K

How much do data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist 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.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.
More about Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in California?

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

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

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

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For Data Scientist jobs in CA, the most frequently searched job titles are:

Data Scientist jobs near you
Infographic showing various Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Data Scientist

Covalent Corp.

Sunnyvale, CA • On-site

$110K - $190K/yr

Full-time

Re-posted 12 days ago

Job description

Role Overview
We are seeking a Data Scientist to work at the intersection of laboratory science and data-driven software systems. This role is in our software organization and collaborates closely with scientists, engineers, and business stakeholders to translate scientific workflows into productized analytical tools and data-informed systems.
The role combines hands-on scientific data analysis and cross-functional problem solving. You will be expected to engage deeply with how data is generated, interpreted, and used - both in laboratory contexts and in broader business and operational systems that depend on scientific understanding.
This position is well suited for someone with strong analytical instincts, a background in experimental physics, chemistry, or materials science, experience working with experimental or instrument-generated data, and the ability to apply data science techniques in environments where domain context matters as much as algorithms.
Key Responsibilities
Design and implement exploratory data analyses, proof-of-concept tools, and applied machine learning solutions to address scientific, operational, and analytical problems.
Provide scientific and analytical subject matter expertise for data-driven tools that intersect scientific workflows and business processes, ensuring domain assumptions are correctly represented.
Analyze and interpret data generated by laboratory instruments and measurement workflows, developing analytical methods, models, and visualizations grounded in experimental reality.
Collaborate with laboratory staff to identify data quality issues, sources of variability, and opportunities for improved measurement, analysis, or automation.
Contribute to the design and evolution of data pipelines, databases, and structured metadata systems supporting both laboratory and operational data.
Translate ambiguous scientific and operational questions into well-defined analytical problems and propose data-driven approaches to address them.
Communicate findings, assumptions, and limitations clearly to scientists, engineers, and non-technical stakeholders.
Preferred Qualifications
We are intentionally flexible on formal credentials. Strong candidates may come from academic research, measurements in technical industries, or applied data science.
You should have experience with:
  • Hands-on data analysis using Python, SQL, or similar tools
  • Working with experimental, instrument-generated, imaging, or sensor data
  • Exploratory data analysis, statistical reasoning, and visualization
  • Writing code to process, analyze, or automate data workflows

It's a plus if you have experience with:
  • Machine learning applied to real-world scientific or experimental problems
  • Imaging, signal processing, or high-dimensional data
  • Cloud-based data tools, databases, or ETL pipelines
  • Large language model technologies, or agentic workflow development

Who Will Thrive Here
This role is a strong fit if you:
  • Are comfortable taking ownership of ambiguous, domain-heavy problems
  • Enjoy working close to real instruments, experiments, and physical systems
  • Can move between scientific detail and higher-level system thinking
  • Communicate effectively with both scientists and non-technical stakeholders
  • Want to apply data science in contexts where correctness, assumptions, and interpretation truly matter

You may have a background in scientific research, applied machine learning, or engineering, and be motivated by roles where scientific understanding is a core part of technical decision-making.
Why Join Us
  • Work on data-driven problems rooted in real physical measurement systems
  • Influence both scientific workflows and business-facing systems
  • Collaborate across laboratory, software, and operations teams
  • Tackle problems where domain insight is as important as technical skill
  • Grow into deeper technical and domain ownership over time

Why Join Covalent
At Covalent, you'll work alongside world-class scientists and engineers in a dynamic, collaborative environment. We empower our team members to take ownership of their work, innovate constantly, and engage directly with customers, shaping the future of technology.
The pay range for this role is:
110,000 - 190,000 USD per year (Covalent Sunnyvale)

Apply