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Contract Data Scientist Risk Jobs (NOW HIRING)

Gusto, Inc.

Data Scientist, Risk

San Francisco, CA · On-site

$186K - $230K/yr

As a 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 to the ...

Imprint

Data Scientist, Risk

New York, NY · On-site +1

$170K - $200K/yr

As a Data Scientist, Risk, you will own the modeling powering Imprint's top-of-funnel credit decisioning-from application intake through approval-across every acquisition channel: direct affiliates ...

Gusto, Inc.

Data Scientist, Risk

San Francisco, CA · On-site

$186K - $230K/yr

As a 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 to the ...

Mudflap

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

As a Senior Data Scientist, Risk , 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 ...

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 ...

OKX

Sr Data Scientist, Risk Strategy

San Jose, CA · On-site

The Sr Data Scientist, Risk will leverage analytical and modeling skills to identify fraud patterns, collaborate with stakeholders, and develop machine learning models to enhance fraud detection ...

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 ...

Makpar

Senior Data Scientist / Risk Modeling Analyst

$88K - $111K/yr

The Senior Data Scientist will support the Safeguards risk-based review selection process. This role will maintain and enhance risk models, health score calculations, data fields, scripts, macros ...

Flexcar

Risk Data Scientist

Boston, MA · On-site

They are seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk, owning the full lifecycle of risk modeling and collaborating with various teams to ...

Flexcar LLC

Risk Data Scientist

Boston, MA · On-site

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time - 5 days in office - 50 hours Compensation: $112,000 - $155,000 + Full Benefit Package Day One * This position is ...

Flexcar

Risk Data Scientist

Boston, MA · On-site

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time - 5 days in office - 50 hours Compensation: $112,000 - $155,000 + Full Benefit Package Day One * This position is ...

Cotiviti

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 ...

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Contract Data Scientist Risk information

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$37.5K

$122.7K

$196.5K

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

As of Jul 12, 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.
More about Contract Data Scientist Risk jobs
What cities are hiring for Contract Data Scientist Risk jobs? Cities with the most Contract 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 Contract Data Scientist Risk jobs? States with the most job openings for Contract Data Scientist Risk jobs include:
What job categories do people searching Contract Data Scientist Risk jobs look for? The top searched job categories for Contract Data Scientist Risk jobs are:
Contract Data Scientist Risk jobs near you
Infographic showing various Contract Data Scientist Risk job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist, Risk

Data Scientist, Risk

Gusto, Inc.

San Francisco, CA • On-site

$186K - $230K/yr

Other

Posted 17 days ago

Gusto rating

8.0

Company rating: 8.0 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

About the Role:

As a 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 to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.

In this role you'll be working with an established team and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. You'll define and track metrics that help us understand our business performance, and dive deep into our risk stack data to deliver insights and answer questions. You'll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. This role is an equivalent of Staff-level, with an expectation of owning experimentation and building risk models that will have direct impact on business decisions.

This is a San Francisco-based role with expectations to be in office Tuesdays and Wednesdays.

Here's what you'll do day-to-day:

  • Partner and Execute: Translate ambiguous stakeholder questions into clear, testable analyses. Structure complex business problems, identify drivers of performance, and communicate actionable insights to influence product or business decisions.
  • Analytical Depth:  Use sound statistical reasoning and experimentation frameworks to separate signal from noise. Select appropriate analytical techniques that balance rigor and speed, and leverage AI-assisted analytics to surface drivers of product performance, separating signal from noise
  • Build Models and Leverage AI: use Claude Code to enhance analytical approaches. Build risk models and present recommendations to process and project enhancements
  • Experimentation & Measurement: Design and interpret experiments within your domain. Work with stakeholders to define success metrics, measure impact, and communicate trade-offs.
  • Communication: Tell clear, data-driven stories that connect findings to business strategy. Adapt communication for technical and non-technical audiences.
  • Execution: Own end-to-end delivery of analyses and metrics for your product area. Collaborate with cross-functional peers to scope, prioritize, and deliver insights that inform decisions.

Here's what we're looking for:

  • 7-10 years of experience in Data Science at a product-focused software company.
  • Experience with Risk DS and risk modeling.
  • Strong SQL skills and comfort with Python.
  • Proven ability to apply statistical methods, causal inference, and experimental design to real business problems.
  • Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
  • Demonstrated experience leading technically complex projects with clear business impact.
  • A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights.
  • Passion for mentoring others and raising the bar for data science craft across the team.

Our cash compensation amount for this role is targeted at $186,000/yr - $230,000/yr for San Francisco. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

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