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Data Science Degree 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.

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

  • Retirement

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

  • Retirement

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

  • Retirement

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field, or the equivalent combination of education and related experience. * Broad ...

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or ...

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's or Master's degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline). Master's degree preferred * 7+ years of hands-on ...

Data Science Manager

Irvine, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's or Master's degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline). Master's degree preferred * 7+ years of hands-on ...

We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ... Degree in a quantitative field like statistics, economics, applied math, operations research or ...

Data Science Engineer

Livermore, CA

$134K - $161K/yr

  • Retirement

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field, or the equivalent combination of education and related experience. * Broad ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Established product data science roadmap aligned with business priorities; shipped at least one ...

Data Science Engineer

Livermore, CA

$121K - $154K/yr

  • Retirement

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

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 ...

Data and Analytics Job Subfunction: Data Science and AI The Data Science team is pivotal in the ... degree in mathematics, computer science, statistics or related field, and 7-10 years of experience ...

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Showing results 1-20

Data Science Degree information

See California salary details

$37K

$121.1K

$193.9K

How much do data science degree jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data science degree 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 is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.
What cities in California are hiring for Data Science Degree jobs? Cities in California with the most Data Science Degree job openings:
Infographic showing various Data Science Degree job openings in California as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% 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.