Senior Machine Learning Data Scientist

Summary

Join Extend, a venture-backed startup modernizing the protection plan industry, as a Machine Learning Data Scientist on the Risk & Fraud Machine Learning Team. You will develop and deploy cutting-edge machine learning models to detect and prevent fraud, enhance decision-making, and drive business value. You will work closely with product, engineering, and operations teams to build scalable, production-ready machine learning applications that support Extend's post-purchase products, including product protection, shipping protection, and more.

Requirements

• 3+ years of experience building and deploying production machine learning models
• Solid understanding of fundamental machine learning and computer science concepts, software design best practices
• Expertise with Python, including common ML/AI libraries such as Scikit-learn, Pytorch, or Tensorflow
• Familiarity with large language models (LLMs) and their applications in risk and fraud detection
• Excellent communication and stakeholder management skills, with a track record of working cross-functionally to drive business impact
• Attention to detail, intellectual curiosity, and a deep understanding of user behavior and fraud patterns
• Empathy and humility

Responsibilities

• Develop and deploy machine learning models to prevent and detect fraud and abuse, leveraging structured and unstructured data sources
• Own the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, validation, and deployment
• Monitor and maintain models in production to ensure performance and reliability over time
• Collaborate with product and engineering teams to integrate machine learning models into production applications
• Foster a culture of learning, experimentation, and collaboration within and across partner teams

Preferred Qualifications

• Previous experience building fraud detection or risk assessment tools is a strong plus
• Expertise with SQL; experience with dbt or graph databases is a plus
• Experience with AWS, cloud computing, and/or Typescript is a plus

Benefits

• Competitive salary based on experience, with full medical and dental & vision benefits
• Stock in an early-stage startup growing quickly
• Very generous, flexible paid time off policy
• 401(k) with Financial Guidance from Morgan Stanley