Position: Senior Machine Learning Data Scientist (remote)


Job ID:		41195
Responsibilities:


-Build, evaluate, and scale production-grade ML models using transactional signals from hundreds of millions of users to combat fraud, evaluate risk, and boost revenue.
-  End-to-End Model Lifecycle: Lead model experimentation, design, testing, and evaluation, partnering with ML Engineers to deploy models into production infrastructure.
  Fraud & Risk Framing: Translate complex fraud behaviors into structured machine learning solutions, knowing when to deploy ML versus simpler analytical approaches.
  Feature Engineering & Pipelines: Design and maintain robust feature pipelines to support model development and real-time evaluation.
  Production Observability: Monitor production model performance, track data drift over time, and determine retraining schedules.
  Cross-Functional Strategy: Collaborate with Product, Engineering, Fraud Operations, and GTM teams to align machine learning solutions with business objectives.


Qualifications: 


  Experience: 3+ years of experience building and deploying machine learning systems into production.
  Education: Bachelor’s degree or higher in a quantitative discipline (Math, Stats, CS, Engineering, Physics, etc.).
  Technical Stack: Advanced proficiency in Python and SQL; hands-on experience with PyTorch, scikit-learn, and XGBoost.
  ML Fundamentals: Deep understanding of model selection, evaluation techniques, feature engineering, and failure modes.
SALARY:
135-165k