Senior Data Product Scientist

Job Description AMC 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 RESPONSIBILITIES Hands-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 & Operating Rhythm Support Help manage incoming demand across departments; support triage, prioritization, and structured execution across multiple workstreams. Bring order and clarity—tight scoping, sequencing, and stakeholder alignment—without losing technical depth. QUALIFICATIONS (Required & Preferred) Required Master’s Degree in STEM or Quantitative field, or 6 additional years of relevant work experience 8+ years of experience in applied data science Technical skills (systems and tools) Working with complex datasets, modeling, evaluation, and communicating results. Strong coding ability (Python and SQL expected; experience with production-grade analytics code preferred). Strong understanding of ML fundamentals and model evaluation; ability to choose approaches appropriately and explain tradeoffs clearly. Non-Technical skills & competencies (problem-solving, management or work skills needed, etc.) Ability to operate autonomously, manage ambiguity, and drive end-to-end outcomes with minimal oversight. Strong communication and interpersonal skills; proven ability to work across technical and non-technical audiences. Preferred PhD in STEM of Quantitative field Experience building solutions intended for product scale (deployment considerations, monitoring, reliability, documentation, adoption). Experience with GenAI approaches (prompting patterns, evaluation, safety/quality considerations) applied to business use cases. Experience in a “data products” environment where analytics becomes reusable, governed, and enabled across teams. The base compensation for this position is $155,000 to $185,000 commensurate with experience. AMC Global Media additionally offers a comprehensive benefits package including Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Tuition Reimbursement, Paid Time Off, Paid Parental Leave and Adoption Services, among other benefit plan options, subject to eligibility requirements. AMC Networks values the benefits achieved through in-office collaboration, but we provide our employees with the flexibility to work from home one day per week. The Company is committed to policy of nondiscrimination in its employment and personnel practices. Applicants are considered for all employment without regard to race, color, religious creed, religion, alienage, citizenship, gender, gender identity, national origin, ancestry, genetic predisposition or carrier status, age, marital status, familial status, military or veteran status, status as a victim of domestic violence, stalking or sexual assault, sexual orientation, disability or any other characteristic protected by federal, state or local law. The Company is committed to policy of nondiscrimination in its employment and personnel practices. Applicants are considered for all employment without regard to race, color, religious creed, religion, alienage, citizenship, gender, gender identity, national origin, ancestry, genetic predisposition or carrier status, age, marital status, familial status, military or veteran status, status as a victim of domestic violence, stalking or sexual assault, sexual orientation, disability or any other characteristic protected by federal, state or local law.