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At Home Data Scientist Risk Jobs (NOW HIRING)

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 ...

Data Scientist, Risk

New York, NY · On-site +1

$170K - $220K/yr

Role Summary The Risk team at Imprint is responsible for making smarter, faster credit decisions ... As a Data Scientist, Risk, you will own the modeling powering Imprint's top-of-funnel credit ...

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 ... If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185K - $225K/yr

At Mudflap, we're building a data-driven decision engine that powers every facet of our business ... As a Senior Data Scientist, Risk , you will develop the models, insights, and strategies that help ...

The Sr Data Scientist, Risk will leverage analytical and modeling skills to identify fraud patterns ... At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every ...

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute ... The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling ...

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute ... The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling ...

Learn more about our employer brand at makpar.com/careers. The Senior Data Scientist will support the Safeguards risk-based review selection process. This role will maintain and enhance risk models ...

... at once, collaborating across the organization to rapidly solve problems through applied data science • Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk ...

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time - 5 days in ... At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone.

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time - 5 days in ... At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone.

... and guidance at the corporate level. They work across business groups and around the globe ... In this role, you'll apply data-driven techniques to identify opportunities, design risk policies ...

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

NE · On-site

G is seeking a Data Scientist to support USSTRATCOM/J7 assessments across campaign, risk ... On site at Offutt AFB Bellevue Nebraska Who We Are At D amp;G Solutions, people come first; our ...

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At Home Data Scientist Risk information

See salary details

$37.5K

$122.7K

$196.5K

How much do at home data scientist risk jobs pay per year?

As of Jul 11, 2026, the average yearly pay for at home 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 At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

More about At Home Data Scientist Risk jobs
What cities are hiring for At Home Data Scientist Risk jobs? Cities with the most At Home 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 At Home Data Scientist Risk jobs? States with the most job openings for At Home Data Scientist Risk jobs include:
Infographic showing various At Home Data Scientist Risk job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% 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

$186K - $230K/yr

Other

Re-posted 16 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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