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At Home Data Scientist Risk Jobs (NOW HIRING)

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.

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 ...

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.

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 ...

Are you ready to make yourself at home? What We Are Looking For: We're seeking a Principal Data ... Work with Compliance and Risk teams to build surveillance and monitoring systems that meet ...

... at enterprise scale. This individual works independently on high-visibility and mission-critical ... Design, build, and sustain analytical models that support COA analysis, risk prioritization ...

Are you ready to make yourself at home? What We Are Looking For: We're seeking a Principal Data ... Work with Compliance and Risk teams to build surveillance and monitoring systems that meet ...

Design, build, and sustain analytical models that support COA analysis, risk prioritization ... Aggregate, normalize, prioritize, and analyze Mission Assurance risks and dependencies at ...

... risk identification across large, complex tax and financial data environments. You will work ... Willingness to travel and work on-site at client locations as required by project needs Preferred ...

... truly at home. **This position is onsite at 997 Morrison Dr, Charleston SC** Primary ... The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to ...

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... risk at the information system, division, branch, and enterprise level. * Researches and recommends ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

... risk at the information system, division, branch, and enterprise level. * Researches and recommends ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

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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 31, 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, 73% Full Time, 22% Part Time, and 4% 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

Gusto, Inc.

San Francisco, CA • On-site

$186K - $230K/yr

Full-time

Re-posted 5 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 Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff - payroll, health insurance, 401(k)s, and HR - so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) - because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
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.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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