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Data Scientist Risk Jobs in California (NOW HIRING)

Gusto, Inc.

Data Scientist, Risk

San Francisco, CA

$186K - $230K/yr

As a Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the ...

Gusto, Inc.

Data Scientist, Risk

San Francisco, CA · On-site

$186K - $230K/yr

As a Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the ...

Mudflap

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

As a Senior Data Scientist, Risk , you will develop the models, insights, and strategies that help us identify, assess, and mitigate credit and fraud risk across our platform. You'll lead the ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

The Sr Data Scientist, Risk will leverage analytical and modeling skills to identify fraud patterns, collaborate with stakeholders, and develop machine learning models to enhance fraud detection ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · Hybrid

$223K - $268K/yr

The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

$223K - $268K/yr

The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual ...

Block

Senior Decision Scientist, Risk

San Francisco, CA · On-site +1

The Role We're looking for a Decision Scientist to develop, implement, and own automatic risk ... In this role, you'll apply data-driven techniques to identify opportunities, design risk policies ...

Verse

Data Scientist

San Francisco, CA

$146K - $172K/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 Data ...

Verse

Data Scientist

San Francisco, CA · On-site

$146K - $172K/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 Data ...

Verse

Data Scientist

San Francisco, CA

$146K - $172K/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 Data ...

Quantifind

Data Scientist

Palo Alto, CA

Who We Are Quantifind is the Risk Intelligence company. We help some of the world's biggest banks ... Members of the Data Science team translate real-world problems into quantitative language, find or ...

Quantifind

Data Scientist

Palo Alto, CA · On-site

Who We Are Quantifind is the Risk Intelligence company. We help some of the world's biggest banks ... Members of the Data Science team translate real-world problems into quantitative language, find or ...

Mastercard, Inc.

Data Scientist

San Francisco, CA · On-site

Title and Summary Data Scientist Overview: Are you passionate about building scalable, high ... risk to the organization and, therefore, it is expected that every person working for, or on behalf ...

MasterCard

Data Scientist

San Francisco, CA

Title and Summary Data Scientist Overview: Are you passionate about building scalable, high ... risk to the organization and, therefore, it is expected that every person working for, or on behalf ...

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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, Risk

Data Scientist, Risk

Gusto, Inc.

San Francisco, CA

$186K - $230K/yr

Other

Re-posted 17 days ago

Gusto rating

8.0

Company rating: 8.0 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

About the Role:

As a Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.

In this role you'll be working with an established team and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. You'll define and track metrics that help us understand our business performance, and dive deep into our risk stack data to deliver insights and answer questions. You'll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. This role is an equivalent of Staff-level, with an expectation of owning experimentation and building risk models that will have direct impact on business decisions.

This is a San Francisco-based role with expectations to be in office Tuesdays and Wednesdays.

Here's what you'll do day-to-day:

  • Partner and Execute: Translate ambiguous stakeholder questions into clear, testable analyses. Structure complex business problems, identify drivers of performance, and communicate actionable insights to influence product or business decisions.
  • Analytical Depth:  Use sound statistical reasoning and experimentation frameworks to separate signal from noise. Select appropriate analytical techniques that balance rigor and speed, and leverage AI-assisted analytics to surface drivers of product performance, separating signal from noise
  • Build Models and Leverage AI: use Claude Code to enhance analytical approaches. Build risk models and present recommendations to process and project enhancements
  • Experimentation & Measurement: Design and interpret experiments within your domain. Work with stakeholders to define success metrics, measure impact, and communicate trade-offs.
  • Communication: Tell clear, data-driven stories that connect findings to business strategy. Adapt communication for technical and non-technical audiences.
  • Execution: Own end-to-end delivery of analyses and metrics for your product area. Collaborate with cross-functional peers to scope, prioritize, and deliver insights that inform decisions.

Here's what we're looking for:

  • 7-10 years of experience in Data Science at a product-focused software company.
  • Experience with Risk DS and risk modeling.
  • Strong SQL skills and comfort with Python.
  • Proven ability to apply statistical methods, causal inference, and experimental design to real business problems.
  • Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
  • Demonstrated experience leading technically complex projects with clear business impact.
  • A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights.
  • Passion for mentoring others and raising the bar for data science craft across the team.

Our cash compensation amount for this role is targeted at $186,000/yr - $230,000/yr for San Francisco. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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