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Full Time Data Scientist Risk Jobs (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 ...

Found

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

As a Risk Data Scientist at Found, you will be a key player in our Risk team, responsible for identifying, mitigating, and managing financial and operational risks across our product offerings. You ...

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 ... Compensation For Full-Time (Salary) US based applicants: $185,000/year to $240,000/year + benefits ...

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 ...

AppOmni

Lead Data Scientist

About the Role AppOmni is looking for a Lead Data Scientist, Risk Intelligence & AI to engineer, develop, and operationalize data-driven risk scoring, signal prioritization, and agent-driven security ...

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques, statistical modeling, and/or machine learning, you will partner with the ...

Syntelligent Analytic Solutions

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

Elder Research

Data Scientist

Arlington, VA · On-site

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... risk identification across large, complex tax and financial data environments. You will work ...

Elder Research

Data Scientist

Arlington, VA · On-site

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... risk identification across large, complex tax and financial data environments. You will work ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection ... Data Scientist Location: Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2 ...

LP Building Solutions

Data Scientist

Nashville, TN · On-site

Hybrid Job Purpose LP Building Solutions, a large specialty building products manufacturer, is looking for a full-time data scientist to join the data analytics team. Leveraging advanced analytical ...

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All JobsFull Time Data Scientist Risk Jobs

Full Time Data Scientist Risk information

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$37.5K

$122.7K

$196.5K

How much do full time data scientist risk jobs pay per year?

As of Jun 21, 2026, the average yearly pay for full time data scientist risk 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.

What is the difference between Full Time Data Scientist Risk vs Full Time Data Analyst Risk?

AspectFull Time Data Scientist RiskFull Time Data Analyst Risk
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; sometimes certifications in risk analyticsBachelor's in Data Analysis, Statistics, or related fields; certifications are common but less specialized
Work EnvironmentCollaborates with risk management teams, develops models, analyzes complex data setsPrepares reports, analyzes data trends, supports risk decision-making
Employer & Industry UsageFinancial institutions, insurance companies, banksFinancial firms, insurance companies, consulting agencies

Full Time Data Scientist Risk roles focus on developing advanced risk models and leveraging complex data analysis, requiring specialized skills and certifications. Full Time Data Analyst Risk positions involve data reporting and trend analysis to support risk decisions, often with less emphasis on modeling. Both roles are vital in risk management but differ in technical depth and responsibilities.

What cities are hiring for Full Time Data Scientist Risk jobs? Cities with the most Full Time Data Scientist Risk job openings:
What are the most commonly searched types of Data Scientist Risk jobs? The most popular types of Data Scientist Risk jobs are:
What states have the most Full Time Data Scientist Risk jobs? States with the most job openings for Full Time Data Scientist Risk jobs include:
Full Time 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 10 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

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