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Data Scientist Jobs in California (NOW HIRING)

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Data Scientist

San Francisco, CA

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 ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Provides hands-on execution and implementation of data science models. * Translates business analysis needs into well-defined data science problems, selecting appropriate models and algorithms.

Aven

Data Scientist

Campbell, CA · On-site

Aven is seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. In this pivotal role, you will shape product strategy using robust scientific methodologies and apply ...

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your role will be pivotal in shaping our product strategy using robust scientific methodologies.

Cypress HCM

Data Scientist

San Jose, CA

$105.63/hr

Data Scientist Job Details * Data Scientist (Contract) * Location: San Jose CA 95110 (Hybrid) * Duration: 11/17/2025 to 6/12/2026 * Team: Express Growth US About the Role: * The Express Growth Data ...

247Hire

Data Scientist

Los Angeles, CA · On-site

$120 - $160/hr

Overview - add details here Summary We're looking for a Senior Data Scientist with a strong foundation in predictive modeling, clustering, and statistical analysis. This role combines hands-on ...

NextDeavor Inc.

Data Scientist

San Francisco, CA

$90.14 - $112.68/hr

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental benefits ...

Aven

Data Scientist

Campbell, CA · On-site

Aven is seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. This role is pivotal in shaping product strategy using robust scientific methodologies and involves ...

Apple

Data Scientist

Cupertino, CA · On-site

As Data Science organization, our goal is to harness the power of user data to help Maps make great decisions. We work in a data-driven environment where Data Scientists are instrumental in keeping ...

Arenatechnologies

Data Scientist

San Diego, CA · On-site

$125 - $144/hr

Job Position SPA is looking for a Mid‑Level Data Scientist with Artificial Intelligence experience in the training and development field to support a contingent role with Naval Information Warfare ...

OpenArt AI

Data Scientist

San Francisco, CA · On-site

$110 - $150/hr

Data Scientist OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We're building the next generation of creative tools powered by cutting‑edge AI, enabling ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

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 ...

Far Coder

Data Scientist

Oakland, CA · On-site

$175.35 - $214.32/hr

# Remote Data Scientist Job at EarnestUSA6 hours agoFull TimeUSA$25000 - $40000 USDSQLPythonRESTmachine learningab testingdata science"When applying, mention the word FarCoder to show you've read the ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$100K - $130K/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 ...

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 ...

Waymo

Data Scientist

San Diego, CA · On-site

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ...

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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 Aug 12, 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.

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.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

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.

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.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in California? The most popular types of Data Scientist jobs in California are:
What are popular job titles related to Data Scientist jobs in California? 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:
What cities in California are hiring for Data Scientist jobs? Cities in California with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in CA? 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, 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 6 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.