Job DescriptionWe are currently seeking a
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.
- 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.
