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Contract Data Scientist Risk Jobs (NOW HIRING)

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 ...

As a Staff 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 ...

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 ...

As a Staff 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 ...

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 ...

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 ...

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 ...

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 ...

We're an exciting seed round, Boston-based,contract management and analysis tool for technology ... This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be ...

The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and ... As a Data Scientist on this team, you will focus on three main project areas: Model Validation ...

Data Scientist

New York, NY · On-site

$60 - $62/hr

Data Scientist Duration: 6+ months contract Location: NYC- Hybrid About the Team Joining as a Data Scientist t o support risk research and analysis, you will help shape the strategic decisions of the ...

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

We have an outstanding Contract position for a Data Scientist to join a leading Company located in ... predictive risk models backed by statistical analysis and supports data-driven solutions.

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Contract Data Scientist Risk information

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

As of Jun 21, 2026, the average yearly pay for contract 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 are Contract Data Scientist Risk jobs?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a Contract Data Scientist specializing in risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

What are the key skills and qualifications needed to thrive as a Contract Data Scientist in Risk, and why are they important?

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.
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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