Senior Data Product Scientist
Job DescriptionAMC Global Media is home to many of the greatest stories and characters in TV and film and the premier destination for passionate and engaged fan communities around the world. We create and curate celebrated series and films across distinct brands and make them available to audiences everywhere. Our portfolio includes targeted streaming services AMC+, Acorn TV, Shudder, Sundance Now, ALLBLK and HIDIVE; cable networks AMC, BBC AMERICA, Independent Film Company, Sundance TV and We TV; and film distribution labels Independent Film Company and RLJE Films. The company also operates AMC Studios, our in-house studio, production, and distribution operation behind acclaimed and fan-favorite originals including The Walking Dead Universe and the Anne Rice Immortal Universe, and AMC Networks International, our international programming business. We are currently seeking a Senior Data Product Scientist to join our Business Intelligence based in our New York, NY offices.JOB RESPONSIBILITIESHands-on Data Science, Modeling, and Experimentation (Primary) Work directly within our databases to understand data structure, mappings, lineage, quality issues, and bias; document findings and implications for analysis and product decisions. Write scripts to extract, transform, and analyze data to test hypotheses and validate business ideas. Build, test, and compare ML approaches (including GenAI where appropriate), selecting methods based on the business goal, data constraints, and evaluation criteria. Design model evaluation strategies and clearly communicate model limitations, confidence, and tradeoffs. Create reproducible workflows suitable for productization. Set and uphold standards for analytical rigor, reproducibility, and evaluation. Mentor other scientists through pairing, reviews, and practical guidance on scoping, experimentation, and communication. Business Translation & Stakeholder Partnership Partner with stakeholders to understand business objectives and convert them into well-scoped data science questions. Translate results into decision-ready insights: what we learned, why it matters, what actions it supports, and what risks/limitations exist. Support executive-ready storytelling and crisp recommendations grounded in evidence. Data Product Development (SaaS-minded) Use data, research, and models to help design and develop scalable data products. Create product briefs, requirements, and documentation that bridge business needs with technical implementation. Partner with engineering to develop efficient data solutions. Plan for future scalability (data volume growth, performance, monitoring needs, governance considerations). Product Enablement & Training Train business users on how to interpret metrics, perform reporting, and convert data into insights and decisions. Build enablement materials (playbooks, quick-starts, definitions, case studies) to drive adoption and consistent usage. Prioritization &a...