Build and deploy machine learning systems to drive customer growth and value.
•Our team is a core part of Gen’s AI transformation, building machine learning systems to improve customer growth, retention, personalization, and long-term customer value.
•This role focuses on applied machine learning, experimentation, and business-impact modeling to personalize customer decisions across various touchpoints.
•Key Responsibilities End-to-end ML ownership from data preparation to production deployment and optimization.
•Deploy and operate scalable ML solutions with robust MLOps workflows.
•Design and analyze experiments (A/B tests, holdouts) to measure business outcomes.
•Build advanced models for propensity, response, uplift, recommendations, and customer value.
•Partner with cross-functional teams to integrate models into production systems.
•Requirements Five or more years of professional experience in applied machine learning, data science, or ML engineering.
•Experience building and evaluating models using large-scale behavioral, transactional, or customer data.
•Experience designing experiments, defining success metrics, and measuring incrementality.
•Experience deploying and operating production ML systems, including MLOps workflows.
•Strong Python skills and hands-on experience with ML frameworks.