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Data Scientist Risk Jobs in California (NOW HIRING)

Mudflap

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

We're looking for a versatile Senior Data Scientist, Risk to join our high-impact team. In this role, you will develop the models, insights, and strategies that help us identify, assess, and mitigate ...

Whatnot

Data Scientist, Risk & Fraud

San Francisco, CA · On-site

$194K - $215K/yr

We're looking for a Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community. You will: Generate Insights & Shape Direction * Translate complex data into ...

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 ...

Rich Data Co

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

Design, present & document AI-based initiatives to our clients, typically banking and risk ... Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and ...

York Risk Services

Data Scientist

Los Angeles, CA · On-site

Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders * Help to build, prototype, and deploy machine learning models in sandbox and production environments

Jaris

Data Scientist

Burlingame, CA · On-site

$95K - $140K/yr

We are seeking an experienced Data Scientist to own the identity verification and fraud monitoring ... Partner cross-functionally with Compliance, Risk Operations, and Engineering to translate risk ...

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 ...

Jaris

Data Scientist

Burlingame, CA · On-site

$95K - $140K/yr

We are seeking an experienced Data Scientist to own the identity verification and fraud monitoring ... Partner cross-functionally with Compliance, Risk Operations, and Engineering to translate risk ...

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 ...

Rich Data Co

Senior Data Scientist

San Jose, CA · On-site

Design,present& documentAI-basedinitiatives to our clients,typicallybanking and risk executives ... years of data science experience,ideally in credit riskor financial services. * Experience ...

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 ...

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 ...

Quantifind

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

In financial crimes risk management, Quantifind's solution uniquely combines internal financial ... Members of the Data Science team prototype and build complex Machine Learning solutions, improve ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Partner with project controls, scheduling, cost management, risk management, finance, and program ... Master's degree in data science, computer science, statistics, engineering, business analytics, or ...

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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 Jun 16, 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.

Are data scientists' jobs at risk?

Data scientists' jobs are generally secure due to the increasing reliance on data-driven decision-making across industries. However, automation and advancements in AI tools may change some tasks, emphasizing the importance of skills in programming, statistics, and domain knowledge to stay competitive.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

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.

Do 87% of data science projects fail?

Data Scientist Risk roles often involve managing project uncertainties, but claims that 87% of data science projects fail are exaggerated. Success depends on clear objectives, quality data, and proper methodology; failure rates vary widely across organizations and project types.

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.

Will AI replace data scientists?

AI is a tool that automates certain tasks within data science, such as data processing and model deployment, but it does not replace the need for data scientists. Data scientists are essential for designing experiments, interpreting results, and making strategic decisions, which require domain expertise and critical thinking that AI cannot fully replicate.

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
Senior Data Scientist, Risk

Senior Data Scientist, Risk

Mudflap

Palo Alto, CA • On-site

$185K - $225K/yr

Full-time

Medical, Retirement

Posted 4 days ago

Job description

Mudflap serves the $800B trucking industry, the backbone of the U.S. economy. Our market-leading payment products help truckers save thousands of dollars on fuel (their #1 business expense), while providing our fuel stop partners with access to new, hard-to-reach customers. We're a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey.
About the RoleAt Mudflap, we're building a data-driven decision engine that powers every facet of our business-from risk management and underwriting to product innovation and operational excellence. We're looking for a versatile Senior Data Scientist, Risk to join our high-impact team.
In this role, 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 development of underwriting capabilities, design predictive models to reduce fraud losses, and uncover opportunities to improve portfolio performance. Working closely with Product, Engineering, Risk, and Finance teams, you'll translate complex data into scalable risk solutions that drive growth while protecting the business.
Work Location:
This role is based in Palo Alto, CA and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely.
To support our team, we offer:
  • Commuter benefits to ease your travel
  • Lunches and snacks to keep you fueled
  • A collaborative, high-growth environment where you'll work closely with talented teammates across the company

What You'll Do
  • Drive strategic data science initiatives that directly impact business outcomes, working closely with executive leadership to identify high-value opportunities in your domain.
  • Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring. solve high-impact business problems such as fraudulent risk assessment, underwriting, customer segmentation, etc.
  • Drive data-driven decision making across cross-functional partnerships - Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders
  • Mentor junior data scientists and analysts and establish best practices - Provide technical leadership, code reviews, and strategic guidance while developing scalable data science methodologies and standards across the organization
  • Lead experimentation strategy and drive product innovation - Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics

What We're Looking For
  • 5+ years of experience in data science, analytics, or related fields.
  • Proficiency in SQL and Python for data manipulation, modeling, and automation.
  • Experience building production-ready models and pipelines.
  • Strong statistical knowledge and experience designing experiments (A/B testing, cohort analysis, causal inference).
  • Excellent communication skills-ability to present complex insights clearly to technical and non-technical stakeholders.
  • Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred.
  • Comfortable working in a fast-paced startup environment where collaboration and flexibility are essential.

Perks and Benefits (What we offer):
  • Competitive salary and equity in a high-growth startup
  • Multiple health benefit options
  • Responsible Time Off
  • 401(k) matching
  • Opportunities and support for major career growth
  • Annual Company offsite event (Mudfest!)

The salary range for this role is $185,000 - 225,000. This information reflects a base salary range for this position based on current market data, which may be subject to change as new market data becomes available. The candidate's skills, experience, and other relevant factors will determine the exact compensation.
Company Overview (Who we are):
Mudflap is on a mission to transform the trucking and logistics industry by leveling the playing field for owner operators and small fleets. Backed by top-tier venture investors, including QED, Matrix Partners, Commerce Ventures, NFX, and 500 Startups and included in the Forbes Fintech 50 list, Mudflap offers fleet fuel management solutions. Our core team hails from Disney, Uber, Procore, DoorDash, Google, Meta, Capital One, Affirm and Brex.
Here are the core values that we believe in and look for in new teammates:
  • Be Customer Obsessed: We deeply understand customer needs and put our customers at the center of everything we do
  • Make it Count: Act like an owner by focusing on the impact of your work
  • Find a Way: Be a creative problem solver who pushes past roadblocks to win for our customers and our teammates
  • Sweat the Details: We keep our standards high and achieve them by paying attention to every detail
  • Be Curious: Use a growth mindset to question assumptions, take calculated risks and stretch the boundaries of what's possible

Apply