Senior Data Scientist

Do meaningful work with us. Every day.At Amplify Health, we’re looking for individuals with ambition, resilience and passion for healthcare, insurance, wellness  and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision.The Data Scientist plays a pivotal role in how Amplify Health measures and communicates value from our claims data analytics products for provider management. Sitting within the Data & Analytics team, this person owns the design of core metrics and the broader analytics framework, shapes the analytics narrative behind our product (built out in-product by our application engineering team), and partners with engineering to keep our semantic layer trustworthy.You will also help define and evaluate the quality of our analytics agents, working closely with product, engineering, and clinical partners, and will write production-quality code yourself when a problem calls for it.The ideal candidate combines strong analytical craft and business judgement with the technical depth to partner credibly with engineering.Responsibilities1) Metrics & Analytics FrameworkOwn the design of core business metrics and the analytics framework used across our claims data analytics product for provider management.Translate business logic into clear, well-governed metric definitions.Partner with engineering to review and maintain the semantic layer against the metrics and analytics framework.2) Analytics StorytellingDesign the analytics narrative behind each dashboard — what it should show and why — for our application engineering team to build out in-product.Work with product and clinical teams to ensure that narrative reflects real business questions.3) Agent EvaluationPartner with the AI Engineer to define evaluation business cases for our analytics agents.Design and run evaluations of agent outputs against business and quality criteria, feeding results back into the roadmap.4) Production AnalyticsWrite production-quality analytics code when the business case calls for it, working closely with the Machine Learning Engineer.Contribute to code review and quality practices across the team's analytics codebase.Candidate ProfileExperience and Qualifications~6–9 years of experience in data science or analytics roles, ideally within data-rich or regulated industries.Track record of designing metrics frameworks and analytics narratives that others can build into product dashboards.Experience partnering with engineering teams on semantic layers or metric definitions in a modern data stack.Production-level Python and PySpark; comfortable using SQL for temporary or ad hoc analysis (SQL is not used at the production level).Working knowledge of machine learning and data pipeline concepts (feature engineering, training, inference) — enough to understand how gold-layer data is produced and collaborate effective...