Risk Data Scientist
Flexcar · Boston, MA
$112,000–$155,000from the description
Jul 5, 2026
Boston, MA
Jul 21, 2026
What this job asks for AI summary
A hands-on individual contributor role at a consumer automotive subscription company, focused on building, calibrating, and maintaining credit, fraud, and accident risk models that drive real-time application decisions. The position also covers managing the orchestration platform those models run on, monitoring deployed model performance, and working across Risk, Finance, Product, and Operations teams. It suits a data scientist with production modeling experience and strong Python and SQL skills.
Mid level · 3+ years · Boston, MA · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,000 people in the Boston, MA area plausibly meet what this posting asks for (data scientists). range 830–3,000
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $134,944 (middle half $104,979–$169,773). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The bachelor's degree is listed under 'Required' but is immediately softened by 'preferred' — treated as not a hard degree gate, hence the degree requirement is None.
The role spans risk modeling, platform management, and analytics; it leans most heavily on ML/statistical modeling (credit scoring, fraud, behavioral risk), which maps to Data Scientists (15-2051). Operations Research Analysts (15-2031) is a reasonable runner-up given the risk-strategy and decisioning analytics component.
Seniority is assessed as Mid: the JD asks for 3+ years and describes an individual contributor owning a focused risk modeling stack — meaningful scope but not org-wide technical authority.
The title carries no explicit seniority level word, so the title states no level.
The role is explicitly 5 days in-office in downtown Boston — remote is false.
'AI tools' and 'AI-first solutions' are required but no specific platform is named; the orchestration/AI data science platform experience appears only under 'Nice to Have'.
Third-party data vendor familiarity (bureau data, identity verification, MVR) and telematics/behavioral signals are listed under 'Nice to Have' and are preferred, not required.
Ignored 4 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling, AI/ML orchestration platforms, telematics/behavioral risk signals, third-party risk data vendors.
Read the full posting
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