Extend - Senior Machine Learning Data Scientist
Requirements
• Hands-on, proactive, and analytical professionals who are passionate about using data to solve complex, real-world problems • 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 • Candidates must be located within the continental United States • Preferred: • Experience building fraud detection or risk assessment systems • Experience with cloud ML platforms, particularly AWS (e.g., SageMaker) • Experience with graph data and graph-based models (e.g., PyTorch Geometric) • Experience with model monitoring and observability tooling (e.g., Arize) • Estimated Pay Range: $135,000 - $165,000 per year salaried*
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
Benefits
• The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience. • Life at Extend: • Life at Extend: • Working with a great team from diverse backgrounds in a collaborative and supportive environment. • Competitive salary based on experience, with full medical and dental & vision benefits. • Stock in an early-stage startup growing quickly. • Generous, flexible paid time off policy. • 401(k) with Financial Guidance from Morgan Stanley. • Extend CCPA HR Notice
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