Senior Machine Learning Data Scientist
New
E
ExtendFintech Fraud Prevention
Candidates must be located within the continental United StatesFull-TimeSenior
Salary135,000 - 165,000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLMachine LearningPyTorchscikit-learn
Requirements
- Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field
- 3+ years of work experience building and deploying machine learning systems into production
- Strong proficiency in Python and SQL
- Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes
- Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks)
- High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns
- Empathetic, humble, and collaborative team player
Responsibilities
- Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
- Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches
- Design and maintain feature engineering pipelines for model development
- Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain
- Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies
- Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams
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