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Risk Management Data Scientist Jobs (NOW HIRING)

Senior Data Scientist, Risk

Palo Alto, CA ยท On-site

$185K - $225K/yr

... from risk management and underwriting to product innovation and operational excellence. We're ... Drive strategic data science initiatives that directly impact business outcomes, working closely ...

Senior Manager, Data Science (US)

Charlotte, NC ยท On-site

$123K - $184K/yr

This role manages the overall data scientist team or function for a key business which may include ... Maintains a culture of risk management and control, supported by effective processes in alignment ...

Job Title: โ€ฏ Data Scientist Experience Levels: โ€ฏ3+ years Location: โ€ฏLocated in Doral, FL with ... Provide risk management matrix (e.g., methods for assessing and mitigating risk) on implementation ...

Build industry-leading machine learning models for managing credit and fraud risks. Collaborate ... data science productivity and operational efficiency. * Actively monitor credit risk models and ...

... credit risk management, price prediction and optimization) โ€ข Strong leadership and capacity to ... โ€ข Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark โ€ข ...

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Risk Management Data Scientist information

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How much do risk management data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for risk management data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Risk Management Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist, Risk

Palo Alto, CA โ€ข On-site

Mudflap
1 - 10 employees

$185K - $225K/yr

Other

Medical, Retirement

Re-posted 3 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. Weโ€™re a fast-growing marketplace business looking for a new customer-obsessed teammate to join us on this exciting journey.

About the Role

At Mudflap, weโ€™re building a data-driven decision engine that powers every facet of our businessโ€”from risk management and underwriting to product innovation and operational excellence. Weโ€™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. Youโ€™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, youโ€™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
  • Collaborative, high-growth environment where youโ€™ll work closely with talented teammates across the company
What Youโ€™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 crossโ€‘functional partnershipsโ€”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 practicesโ€”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 innovationโ€”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 Weโ€™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 skillsโ€”ability to present complex insights clearly to technical and nonโ€‘technical stakeholders.
  • Experience in at least one of the domains: risk, growth/marketing, or product analytics preferred.
  • Comfortable working in a fastโ€‘paced startup environment where collaboration and flexibility are essential.
Perks and Benefits (What we offer)
  • Competitive salary and equity in a highโ€‘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 whatโ€™s possible
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