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Data Scientist Risk Jobs in California (NOW HIRING)

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 ... risk models, and player behavior systems. Every model we ship touches real money and real users.

PayPal

Sr Data Scientist

San Jose, CA · On-site

$143K - $212K/yr

Exposure to financial industry, risk management, data driven operations process management required. * Experience developing data science infrastructure to manage financial processes preferred. * Be ...

Amgen

Sr. Data Scientist

Thousand Oaks, CA · On-site

... risk management, supplier performance monitoring, and business decision-making. This role will ... Apply statistical, analytical, and data science methods to identify patterns, generate insights ...

Common Sense

Evaluation Data Scientist

San Francisco, CA · On-site

$140K - $166K/yr

Evaluation Data Scientist Common Sense Media is the leading nonprofit organization dedicated to ... Build internal tooling and dashboards that the Risk Assessment team and subject matter experts use ...

Oscar Health

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Verse

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a ...

AECOM

Reporting Data Scientist

Sacramento, CA

The Data Scientist collaborates across functional areas--including cost, schedule, risk, and finance--to integrate data sources, improve data quality, enhance reporting workflows, and design ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Verse

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a ...

AECOM

Reporting Data Scientist

Sacramento, CA · On-site

The Data Scientist collaborates across functional areas-including cost, schedule, risk, and finance-to integrate data sources, improve data quality, enhance reporting workflows, and design ...

Verse

Data Scientist

San Francisco, CA

$120K - $155K/yr

Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role Verse is seeking a ...

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All JobsData Scientist Risk JobsData Scientist Risk Jobs in California

Data Scientist Risk information

See California salary details

$37K

$121.1K

$193.9K

How much do data scientist risk jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data scientist risk 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 types of projects or problems do Data Scientist Risk professionals typically work on?

Data Scientist Risk professionals typically work on projects involving risk assessment, fraud detection, credit scoring, market risk analysis, and regulatory compliance. Their day-to-day responsibilities often include analyzing large datasets to identify patterns, building predictive models, and presenting insights to risk managers or executives to support risk mitigation strategies. You'll often collaborate with cross-functional teams including finance, IT, and compliance to develop innovative risk solutions and improve organizational decision-making. The work environment is dynamic and intellectually challenging, offering opportunities to continuously learn and make an impact in critical business areas.

What is a Data Scientist Risk job?

A Data Scientist Risk job involves using data analysis, machine learning, and statistical modeling to assess and mitigate financial, credit, or operational risks. These professionals work with large datasets to identify patterns, detect anomalies, and build predictive models that help organizations make informed decisions. They collaborate with risk management teams and stakeholders to develop strategies for minimizing potential losses while ensuring regulatory compliance. Strong analytical skills, proficiency in programming languages like Python or R, and knowledge of risk modeling techniques are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Scientist Risk position, and why are they important?

To excel as a Data Scientist Risk, you need strong analytical skills, advanced knowledge of statistics, programming (typically in Python or R), and a relevant degree such as mathematics, finance, or data science. Familiarity with machine learning libraries, data visualization tools, and risk modeling software like SAS or SQL is commonly required, and certifications such as FRM or CFA are advantageous. Excellent problem-solving, critical thinking, and clear communication abilities are vital for interpreting complex data and presenting actionable insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting decision-making, and ensuring regulatory compliance in fast-paced business environments.

What are the most commonly searched types of Data Scientist Risk jobs in California? The most popular types of Data Scientist Risk jobs in California are:
What are popular job titles related to Data Scientist Risk jobs in California? For Data Scientist Risk jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Scientist Risk jobs in California look for? The top searched job categories for Data Scientist Risk jobs in California are:
What cities in California are hiring for Data Scientist Risk jobs? Cities in California with the most Data Scientist Risk job openings:
Data Scientist Risk jobs near you
Infographic showing various Data Scientist Risk job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Data Scientist

Triumph Arcade, Inc

San Francisco, CA • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago

Job description

The Role
As a Data Scientist, you'll own the quantitative systems that drive how millions of real-money 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 real 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.

Apply