[Remote] Senior Machine Learning Data Scientist

Note: The job is a remote job and is open to candidates in USA. Extend is revolutionizing the post-purchase experience for retailers with AI-driven solutions that enhance customer satisfaction and drive revenue growth. As a Senior ML Data Scientist, you will own the development of machine learning models to detect and prevent fraud, assess risk, and unlock business value, partnering with various teams to translate data into scalable ML systems.ResponsibilitiesOwn the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructureTranslate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approachesDesign and maintain feature engineering pipelines for model developmentMonitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrainPartner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategiesChampion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teamsSkillsHands-on, proactive, and analytical professionals who are passionate about using data to solve complex, real-world problemsBachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field3+ years of work experience building and deploying machine learning systems into productionStrong proficiency in Python and SQLStrong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modesHands-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 patternsEmpathetic, humble, and collaborative team playerCandidates must be located within the continental United StatesExperience building fraud detection or risk assessment systemsExperience 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)BenefitsFull medical and dental & vision benefitsStock in an early-stage startup growing quickly.Generous, flexible paid time off policy.401(k) with Financial Guidance from Morgan Stanley.Company OverviewExtend helps brands turn shopper behavior into operational and financial advantage. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://extend.com.