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Risk Data Scientist

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: TryApplyNow
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 112000 - 155000 USD Yearly USD 112000.00 155000.00 YEAR
Job Description & How to Apply Below
# Risk Data Scientist Flexcar Be  an Early Applicant Full Time junior Hybrid Boston , Massachusetts, US $112k – $155k Posted Today##

Role Overview Flexcar is hiring a entry-level Risk Data Scientist. This is a full-time hybrid role, based in Boston, Massachusetts. Part of Flexcar's Lifecycle hiring, posted today. The posted range is $112k to $155k; applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context

This role offers $112k-$155k. The median for Junior-level Lifecycle roles is $71k-$102k (based on 16 listings). 55% above median.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

PythonSQLRESTAPIDriftORCompensation Benefits Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

Job Title:

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 not eligible for employer-sponsored work authorization. Applicants must be legally authorized to work in the United States without requiring current or future visa sponsorship, including H-1B, TN, or other employment-based sponsorship 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 Role Flexcar 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…
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