Unknown Company

Data Product Scientist

new york, ny • Posted 3 days ago
Remote Full Time IT & Technology

Overview

AMC Global Media is a leading entertainment company that creates and curates celebrated series, films, and fan experiences across multiple streaming services, cable networks, and production studios.

Job Responsibilities

  • Hands‑on data science, modeling, and experimentation – working directly with databases to understand data structure, mappings, lineage, quality issues, and bias; documenting 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 machine‑learning approaches (including GenAI where appropriate), selecting methods based on business goals, data constraints, and evaluation criteria.
  • Design model evaluation strategies and clearly communicate model limitations, confidence, and tradeoffs.
  • Create reproducible workflows suitable for productization and contribute to standards for analytical rigor, reproducibility, and evaluation.
  • Partner with stakeholders to understand business objectives and convert them into well‑scoped data‑science questions; translate results into decision‑ready insights, supportive storytelling, and evidence‑grounded recommendations.
  • Use data, research, and models to design and develop scalable data products; create product briefs, requirements, and documentation; partner with engineering; plan for future scalability.
  • Train business users on interpreting metrics, reporting, and converting data into insights; build enablement materials such as playbooks, quick‑starts, definitions, and case studies to drive adoption.
  • Prioritize, support scoping, triage, and prioritization across multiple workstreams; bring order and clarity while maintaining technical depth.

Required Qualifications

  • 6+ years of experience in applied data science.
  • Bachelor’s Degree in STEM or a quantitative field, or 4 additional years of relevant work experience.
  • Deep hands‑on experience with complex datasets, modeling, evaluation, and communication of results.
  • Strong coding ability in Python and SQL (experience with production‑grade analytics code preferred).
  • Solid understanding of machine‑learning fundamentals and model evaluation; ability to select approaches and explain tradeoffs.
  • Ability to work independently, manage ambiguity, and drive end‑to‑end delivery while partnering effectively with engineering and product teams.
  • Strong communication and interpersonal skills; proven ability to work across technical and non‑technical audiences.

Preferred Qualifications

  • Master’s Degree in STEM or a quantitative field.
  • Experience building solutions intended for product scale, including deployment considerations, monitoring, reliability, documentation, and adoption.
  • Experience with GenAI approaches (prompting patterns, evaluation, safety/quality considerations) applied to business use cases.
  • Experience working in a “data‑products” environment where research becomes reusable, governed, and enabled across teams.

Compensation & Benefits

Base compensation ranges from $135,000 to $150,000, commensurate with experience. AMC Global Media offers a comprehensive benefits package that includes medical, dental, vision, prescription drug coverage, a 401(k) plan, a wellness program, life insurance, tuition reimbursement, paid time off, paid parental leave, and adoption services, subject to eligibility requirements.

Employees may work from home one day per week while enjoying in‑office collaboration opportunities.

Equal Opportunity Statement

AMC Global Media is an equal‑opportunity employer. All applicants are considered for employment without regard to race, color, religion, citizenship, gender, gender identity, national origin, ancestry, genetic predisposition, age, marital status, familial status, military or veteran status, occupation status, marital status, disability, or any other characteristic protected by federal, state, or local law.

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