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Data Scientist Risk Jobs in California (NOW HIRING)

Unchain Data

Senior Data Scientist, Fraud

Menlo Park, CA · On-site

$187 - $220/hr

Our work has direct impact on customer security, company risk posture, and regulatory compliance. As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions ...

Parafin, Inc

Data Scientist

San Francisco, CA · On-site

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ... Designing experiments that navigate the tradeoff between growth and risk - expanding access to ...

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 ...

Taskrabbit

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of ... Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and ...

Taskrabbit

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of ... Be a strategic thought partner with stakeholders from product, risk, finance, engineering, and ...

OpenAI

Data Scientist, Preparedness

San Francisco, CA · On-site

They are seeking a Data Scientist to help build, evaluate, and continuously improve mitigations ... emerging risk areas). • Diagnose false positives and false negatives with deep error analysis ...

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 ... Performing risk-based pricing optimization and experimentation * Collaborating with engineering to ...

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

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.

Amgen SA

Sr Data Scientist

Thousand Oaks, CA · On-site

$140 - $190/hr

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

Ramp

Data Scientist

San Francisco, CA · On-site

$140 - $200/hr

Minimum of 4 years of industry experience as a Data Scientist * Strong knowledge of SQL (preferably ... Risk & Capital Markets Data | Ramp's Risk Data team is responsible for how risk is evaluated, and ...

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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 Aug 22, 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 is a data scientist risk?

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 types of projects or problems does a data scientist risk 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 are the key skills and qualifications needed to thrive as a data scientist risk?

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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Senior Data Scientist, Fraud

Unchain Data

Menlo Park, CA • On-site

$187 - $220/hr

Other

Medical, Life, Retirement, PTO

Posted 17 days ago

Job description

About the Role

The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has direct impact on customer security, company risk posture, and regulatory compliance.

As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You'll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform.

This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

Responsibilities
  • Design and deploy fraud detection models to protect Robinhood users and assets in real time
  • Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response
  • Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability
  • Partner with engineering and product teams to implement safeguards and user-facing features
  • Guide experimentation strategy and contribute to long-term fraud prevention roadmap
Requirements
  • 5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation
  • Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow
  • Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing
  • Excellent communication skills and ability to influence decision-making across technical and non-technical audiences
  • A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments
Benefits
  • Challenging, high-impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet—a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life and disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces
Compensation

In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$187,000–$220,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$165,000–$194,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$146,000–$172,000 USD

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