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Risk Data Science Research Jobs (NOW HIRING)

Flexcar

Risk Data Scientist

Boston, MA · On-site

Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub ... Experience with AI data science platforms and orchestration platforms * Experience with behavioral ...

Flexcar

Risk Data Scientist

Boston, MA · On-site

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time - 5 days in ... Experience with AI data science platforms and orchestration platforms * Experience with behavioral ...

Flexcar LLC

Risk Data Scientist

Boston, MA · On-site

Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub ... Experience with AI data science platforms and orchestration platforms * Experience with behavioral ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

You'll work on developing intelligent systems that power risk modeling, fraud prevention, customer ... Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI ...

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Risk Data Science Research information

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$142.5K

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How much do risk data science research jobs pay per year?

As of Sep 12, 2026, the average yearly pay for risk data science research in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Risk Data Science Research jobs?

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Infographic showing various Risk Data Science Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Risk Data Scientist

Boston, MA • On-site

Flexcar
Personal Services • 51 - 200 employees
Learn more about Flexcarexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Key responsibilities

  • Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions.

  • Manage the modeling environment and maintain the platform where risk models and decision workflows are hosted.

  • Monitor the performance of deployed risk frameworks, identify drift or anomalies, and provide recommendations for improvement.

Job description

Job Title: Risk Data Scientist
Location: Downtown Boston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations
Employment Type: Exempt Full Time 
Compensation: $112,000 - $155,000 + Full Benefit Package Day One
At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone. We’ve created a month-to-month option that is more affordable than buying and more flexible than leasing. Our members are saving money and choosing a model that fits how real life actually works. Building a better model of car ownership takes more than technology. It takes people who value clarity, fairness, and real human experience. 
 About the RoleFlexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We’re looking for someone who can own the full lifecycle of our risk modeling stack: building and calibrating models, managing the platforms they run on, and translating results into actionable recommendations. This is a hands-on individual contributor role. You’ll work closely with our Risk, Finance, Product, and Operations teams and have significant influence over how we balance growth against risk exposure.
The models you build matter, and you’ll see their results in real performance data. Flexcar’s unique set of data provides an exciting arena to find signals in new and creative ways. The role spans modeling, platform management, and analytics, which means no two weeks look the same. If you want immediate impact and ownership across a full risk stack, this is the fit for you.What You’ll DoRisk Modeling & Model Development with AI
  • Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions using the latest AI tools
  • Balance multiple initiatives 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 models
  • Lead feature selection, target variable development, and model validation
  • Collaborate with stakeholders to set risk thresholds that balance growth with loss targets
Model Platform & Vendor Integration
  • Manage our modeling environment and maintain our orchestration platform, where all risk models and decision workflows live
  • Monitor data quality and technical integrations with data vendors across fraud, credit, debt, public records, and driving history, working with our Data Engineering and data pipelines are current and models are ingesting the right inputs
  • Partner with engineering and vendor technical teams when API changes or new data sources require updates that would benefit our modeling strength
Monitoring & Analysis
  • Monitor the performance of deployed risk frameworks against key metrics
  • Identify drift, anomalies, or opportunities for improvement and bring forward clear recommendations
  • Contribute to ad hoc analysis supporting risk strategy decisions
What We’re Looking For
Required
  • Bachelor’s degree in Economics, Mathematics, Business or a related discipline preferred
  • 3+ years of experience in a data science or quantitative modeling role with proven, quantifiable output
  • Comfortable leaning in to AI-first solutions, with experience using the latest AI tools to drive results at a high velocity
  • Strong Python and SQL skills; comfortable working with messy, real-world data
  • Hands-on experience building and deploying predictive models in a production environment
  • Ability to work independently and own outcomes, not just tasks
Nice to Have
  • Experience with AI data science platforms and orchestration platforms
  • Experience with behavioral or telematics-based risk signals is a strong plus.
  • Familiarity with third-party data vendors used in risk decisioning (bureau data, identity verification, motor vehicle records, etc.)
  • Experience in a startup or high-growth environment where the work is broad and the tooling is still evolving

What Tops Off the Tank
  • Rest & Relaxation: Flexible PTO policy.
  • Future Savings: Benefit from a 401(k) plan with company match from day one.
  • Benefits: Excellent, low-cost healthcare coverage including: medical, dental, vision, eligibility day one.
  • Drive a Flexcar! Discounted employee rate on Flexcar products and no annual membership fee.
  • Weekly Pay
  • And other amazing perks!

Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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