AMC Networks Inc. Logo

AMC Networks Inc.

Data Product Scientist

Posted 3 Days Ago
In-Office
New York, NY, USA
135K-150K Annually
Senior level
In-Office
New York, NY, USA
135K-150K Annually
Senior level
The Data Product Scientist will analyze data, build machine learning models, translate business needs into data questions, and develop scalable data products. Responsibilities include training users, creating documentation, and ensuring effective communication across teams.
The summary above was generated by AI
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 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.
  • Contribute to and help uphold standards for analytical rigor, reproducibility, and evaluation.

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 clear storytelling and recommendations grounded in evidence, tailored to the audience.

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

  • Partner with teams to understand incoming demand and support scoping, triage, and prioritization across multiple workstreams.
  • Bring order and clarity through scoping, sequencing, and stakeholder alignment, without losing technical depth.

QUALIFICATIONS (Required & Preferred)

Required

  • 6+ years of experience in applied data science.

  • Bachelor’s Degree in STEM or Quantitative field, or 4 additional years of relevant work experience.

  • Technical skills (systems and tools)

  • Deep hands-on experience in applied data science: 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 work independently, manage ambiguity, and drive end-to-end delivery for scoped problem areas while partnering effectively with engineering and product.

  • Strong communication and interpersonal skills; proven ability to work across technical and non-technical audiences.

Preferred

  • Master’s Degree 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 research becomes reusable, governed, and enabled across teams.

The base compensation for this position is $135,000 - $150,000 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 Global Media 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.

HQ

AMC Networks Inc. New York, New York, USA Office

11 Penn Plaza, New York, NY, United States, 10001

Similar Jobs

3 Days Ago
In-Office
New York, NY, USA
155K-185K Annually
Senior level
155K-185K Annually
Senior level
News + Entertainment
The Senior Data Product Scientist will lead data science initiatives, build scalable data products, mentor team members, and translate complex data insights into business recommendations.
Top Skills: GenaiMachine LearningPythonSQL
6 Days Ago
In-Office
New York, NY, USA
111K-284K Annually
Senior level
111K-284K Annually
Senior level
Fitness • Healthtech • Retail • Pharmaceutical
The Senior Data Scientist will develop analytics solutions to transform healthcare data into actionable business insights, influencing product strategy and decision-making for CVS Health.
Top Skills: PythonRSQL
Yesterday
Hybrid
New York, NY, USA
184K-184K Annually
Senior level
184K-184K Annually
Senior level
Fintech
The Product Data Scientist will manage experimentation and analytics, focusing on A/B testing, product evaluation, and translating data into strategic recommendations for growth and risk management.
Top Skills: PythonRSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account