Knowledge, Skills and Abilities: A hands-on, product-oriented data scientist who can move from analysis and rapid prototyping to production implementation Strong in statistical modeling, machine learning, experimental design, and model evaluation Experienced in scalable data pipelines, cloud environments, and integrating complex data sources Skilled at using behavioral and performance data to develop personalized product experiences Thoughtful about responsible AI, including fairness, bias mitigation, transparency, privacy, and appropriate use An effective cross-functional communicator who translates research and business needs into actionable technical solutions. At least 3 years of applied data science experience, including building statistical or machine-learning models and analyzing product experiments, pilots, or user studies Proficiency in Python and SQL, with experience developing scalable data pipelines and moving data products or models from prototype toward production.