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Data Science Graduate Jobs in California (NOW HIRING)

Parafin, Inc

Data Scientist

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ... Since our founding, we have grown the team to include perspectives from graduate studies in physics ...

Triumph

Data Scientist

San Francisco, CA · On-site

Required : • Bachelor's degree in a quantitative subject: math, physics, computer science ... or a graduate degree in a quantitative discipline. • Nationally competitive in any activity.

Deloitte

Lead AI and Data Science Engineer II

Fresno, CA · On-site

$101K - $134K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Deloitte

Lead AI and Data Science Engineer II

San Diego, CA · On-site

$108K - $143K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Deloitte

Lead AI and Data Science Engineer II

Sacramento, CA · On-site

$109K - $144K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Snapchat

Data Scientist, Level 4

Palo Alto, CA · On-site

  • Medical

... data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

Snap, Inc.

Data Scientist, Level 4

Los Angeles, CA

  • Medical

... data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

Snap, Inc.

Data Scientist, Level 4

Palo Alto, CA

  • Medical

... data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

Snapchat

Data Scientist, Level 4

Los Angeles, CA · On-site

  • Medical

... data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

Snap, Inc.

Data Scientist, Level 4

San Francisco, CA

  • Medical

... data science; or a Master's degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field.

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Showing results 21-40

All JobsData Science Graduate JobsData Science Graduate Jobs in California

Data Science Graduate information

See California salary details

$37K

$121.1K

$193.9K

How much do data science graduate jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science graduate 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 Graduate vs Data Analyst?

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What does a data science graduate do?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

What are the key skills and qualifications needed to thrive as a data science graduate?

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

What is a data science graduate?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.
What are popular job titles related to Data Science Graduate jobs in California? For Data Science Graduate jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Graduate jobs in California look for? The top searched job categories for Data Science Graduate jobs in California are:
What cities in California are hiring for Data Science Graduate jobs? Cities in California with the most Data Science Graduate job openings:
Data Science Graduate jobs near you
Infographic showing various Data Science Graduate 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.

Digital Marketing Data Scientist

Alten Calsoft Labs

Palo Alto, CA

Contractor

Re-posted 10 days ago

Job description

Company Description

ALTEN Calsoft Labs is an engineering and IT services company that innovates, integrates and transforms business leveraging digital technology.

Job Description

You will be a team member of the Digital Marketing Analytics team, working in the data sciences area, with specific focus on Digital Marketing business problems.

You'll be responsible for supporting analytics that drive business optimizations across the customer end-to-end journey. This role will support the full cycle of an experiment (from data-driven hypothesis generation to test design to analysis and interpretation) while also innovating on experimental methodologies that allow us to obtain meaningful results.

You should have hands-on technical experience in statistics, predictive modeling and other data sciences, as well as extensive experience in developing data-sets for data science projects. The position requires superb communication and advanced analytical skills.

 

Qualifications

         Total Indicative Experience: 4-7 Years (or equivalent education) with experience in Digital Marketing specifically.

         Hands-on experience with one or more of the primary data science tool-sets: R, SAS, SPSS, Python, and models such as ARIMA.

         Hands-on experience with Adobe Analytics, Tableau and/or Power BI.

         Experience using advanced analytics techniques to tackle digital marketing business problems, such as, pre-funnel behavior analysis to predict insights in the digital journey prior to web form conversions, insights across tactics, multi-touch attribution, campaign sequencing, ROI analysis for paid campaign efficacy, and forecasting for pipeline metrics.

         Working knowledge of methods such as regression, cohort analysis, hypothesis testing, cluster analysis with hands-on experience translating raw data from relational databases and Hadoop into modeling data sets (using Excel, SQL, SAS or other coding tools) is desired.

         Good business & technical communication skills, both verbal and written. Ability to explain and present analytics concepts to non-technical audiences. Ability to establish & cultivate relationships with all stakeholders.

         Proven project management and organizational skills. Ability to effectively prioritize time, manage expectations and deliverables. A self-starter, who proactively looks for new and better ways of doing things. Shows drive, passion and a sense of ownership.

         Graduate degree in data sciences, advanced analytics, statistics or related fields is preferred, or equivalent on-the-job experience (experience in high-tech enterprise business-to-business industry is ideal, as is prior experience from a reputed analytics firm doing similar work).

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply