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Data Scientist Graduate Jobs in California (NOW HIRING)

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Data Scientist, you'll own the quantitative systems that drive how millions of ... Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative ...

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

The Role As a Data Scientist, you'll own the quantitative systems that drive how millions of real ... Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative ...

US Department of Commerce

Data Scientist

La Jolla, CA

$50K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... One full year of graduate-level education. OR SUPERIOR ACADEMIC ACHIEVEMENT: Demonstrated by a ...

New

Parafin

Data Scientist, Underwriting

San Francisco, CA · On-site

$190 - $230/hr

Our Impact Data science is integral to Parafin's mission. Our platform partnerships and lending ... Since our founding, we have grown the team to include perspectives from graduate studies in physics ...

Chipton Ross

Data Scientist

Del Rey, CA · On-site

Graduate Degree and a minimum of 4 years of prior related data analytics experience. In lieu of a degree, minimum of 10 years of prior related data analytics experience. WORK HOURS * Full-Time * 9/80 ...

Snap, Inc.

Data Scientist, Level 4

Los Angeles, CA · On-site

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

Snap, Inc.

Data Scientist, Level 4

Palo Alto, CA · On-site

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

Snapchat

Data Scientist, Level 4

Palo Alto, CA · On-site

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

Snapchat

Data Scientist, Level 4

San Francisco, CA · On-site

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

Snap, Inc.

Data Scientist, Level 4

San Francisco, CA · On-site

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

Snap, Inc.

Data Scientist, Level 4

Los Angeles, CA · On-site

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

Snapchat

Data Scientist, Level 4

Los Angeles, CA · On-site

... graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field. Preferred Qualifications: * 3+ years of Experience using SQL or similar big data ...

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All JobsData Scientist Graduate JobsData Scientist Graduate Jobs in California

Data Scientist Graduate information

See California salary details

$37K

$121.1K

$193.9K

How much do data scientist graduate jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data scientist 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 a data scientist graduate?

A Data Scientist Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, computer science, or a related field. This position typically involves working with large datasets, building machine learning models, and extracting insights to support business decisions. Graduate data scientists collaborate with experienced professionals to develop analytical solutions while improving their technical skills. They often work with programming languages like Python or R, data visualization tools, and cloud-based platforms. This role provides practical experience and mentorship to help graduates transition into full-fledged data science roles.

What types of projects or tasks can a data scientist graduate expect to work on during their first year?

As a Data Scientist Graduate, you’ll typically work on tasks such as cleaning and preprocessing data, conducting exploratory data analysis, building and evaluating predictive models, and visualizing results. You may collaborate with more experienced data scientists on larger projects or support cross-functional teams in extracting insights from company data. Expect to use programming languages like Python or R for hands-on analysis, and contribute to regular meetings to discuss project progress and challenges. These experiences help build your technical skills and offer great exposure to real business problems, laying the groundwork for future advancement.

What are the key skills and qualifications needed to thrive in the data scientist graduate position, and why are they important?

To thrive as a Data Scientist Graduate, you need a solid understanding of statistics, data analysis, and programming, typically supported by a degree in data science, statistics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and machine learning libraries, as well as data visualization platforms such as Tableau, is often expected; certifications in these areas can be advantageous. Critical thinking, problem-solving, and strong communication skills help you interpret complex data and explain findings to non-technical stakeholders. These abilities are crucial for delivering actionable insights, collaborating across teams, and launching a successful career in data science.

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

The most popular types of Data Scientist Graduate jobs in California are:

What are popular job titles related to Data Scientist Graduate jobs in California?

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

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

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

What cities in California are hiring for Data Scientist Graduate jobs?

Cities in California with the most Data Scientist Graduate job openings:

Data Scientist Graduate jobs near you
Infographic showing various Data Scientist Graduate job openings in California as of August 2026, with employment types broken down into 44% Full Time, 50% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Data Scientist

Triumph

San Francisco, CA • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago

Key responsibilities

  • Own and develop the mathematical systems that drive pricing, payout, matchmaking, risk, and player behavior models.

  • Build models to analyze user lifecycle, retention, monetization, and identify quantitative levers to improve these metrics.

  • Design and analyze experiments, and develop behavioral models using high-frequency user data to inform product decisions and real-time systems.

Job description

The Role

As a Data Scientist, you'll own the quantitative systems that drive how millions of players experience Triumph's products, from their first session to long-term retention and monetization. You'll build the models and frameworks behind our most critical business decisions: how we price, how we pay out, how we match players, and how we grow.

You'd be joining a small, high-output quant team (4 people today) that operates like a trading desk. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems. Every model we ship touches money and real users. You see the impact in the numbers the next day.

What You'll Do

  • Monetization & Pricing: Develop and optimize the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's revenue. Own pack economics, rarity calibration, and pricing models for Rips by Triumph.

  • User Journey & Retention: Build models that map the full player lifecycle: acquisition, activation, engagement, monetization, churn risk. Identify the quantitative levers that move retention and LTV, and design interventions that act on them.

  • Experimentation: Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology. Own the measurement framework that tells us what's actually working across the product.

  • Behavioral Modeling: Develop ML and statistical models on rich, high-frequency user behavior data (session patterns, spend curves, matchmaking outcomes, gameplay trajectories) to drive both product decisions and real-time production systems.

  • Growth & Acquisition: Build models that directly inform acquisition spend and channel optimization, connecting upstream marketing decisions to downstream LTV and monetization outcomes.

  • Cross-Functional Impact: Partner closely with engineering, product, and leadership to translate model outputs into shipped features and strategic decisions. Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.

Qualifications

  • Bachelor's degree in a quantitative subject: math, physics, computer science, statistics, economics, or a related discipline.

  • True depth and mastery in at least one quantitative domain: probability, statistics, applied ML, causal inference, or mathematics. We want spiky people who are confident they are among the best in their discipline.

  • Proficiency in Python and SQL.

  • Experience working with large-scale user or behavioral datasets.

Preferred Qualifications

  • Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation.

  • Prior experience as a quantitative trader or quantitative researcher.

  • Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.

  • Nationally competitive in any activity. Some members of our team include national champions in debate, Clash Royale, and Poker.

Why Triumph?

  • High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.

  • High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.

  • High energy. Passionate team who are proud of our work and velocity (16x year over year growth).

  • Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.

Our team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco.

Compensation Range: $200K - $400K