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Job description
Senior Data Scientist - FinCrime - Austin, TX
Hybrid (Austin, TX) • 12‑month contract • $100–$130/hr • U.S. citizens or Green Card holders preferred
Project Overview
Join a fast‑scaling FinTech transforming how consumers access digital payments, lending, and financial wellness tools. You’ll be part of a core data team driving credit‑risk modeling, fraud detection, customer insights, and product personalization initiatives.
This hands‑on role builds end‑to‑end machine‑learning solutions that directly influence millions of users’ interactions with the platform.
Skills & Responsibilities
5+ years’ experience as a Senior Data Scientist or ML Engineer in financial services, FinTech, or risk analytics.
Experience in fraud detection, credit‑risk modeling, anomaly detection or regulatory reporting.
Strong foundation in statistical modeling, ML algorithms, and time‑series analysis.
Hands‑on experience with cloud‑native data pipelines and MLOps tooling.
Strong proficiency in Python and SQL; experience with Spark or PySpark preferred.
If this sounds like the right opportunity for you, please apply with an updated CV.
Additional Information
Seniority level: Mid‑Senior level
Employment type: Contract
Job function: Engineering and Information Technology
Industries: Staffing and Recruiting
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.