Senior Data Scientist - FinCrime - Austin, TX

Edison Smart®; Austin (TX); On-site; USD 137,760 - 179,088; Full time

Job summary

A leading FinTech company in Austin, TX is seeking a Senior Data Scientist to work on fraud detection and credit-risk modeling. This role will build machine-learning solutions that influence user interactions with the platform. Candidates should have over 5 years of experience in financial services and strong skills in Python and SQL. The position offers a hybrid work model.

Qualifications

• 5+ years’ experience in financial services, FinTech, or risk analytics.
• Experience in fraud detection and credit-risk modeling.
• Strong foundation in statistical modeling and ML algorithms.
• Hands-on experience with cloud-native data pipelines.

Responsibilities

• Build end-to-end machine-learning solutions.
• Drive credit-risk modeling and fraud detection.
• Influence user interactions with the platform.

Skills

Experience as a Senior Data Scientist

Fraud detection

Credit-risk modeling

Anomaly detection

Statistical modeling

Machine Learning algorithms

Time-series analysis

Cloud-native data pipelines

MLOps tooling

Python

SQL

Spark or PySpark

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