Senior Product Data Scientist, Media Services

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Culver City, CA
Salary: $175,000–$308,500 / yr
Posted: 52 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k

This role $242k

$116k $329k

below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $154,262–$214,000 — the blue band above. At the midpoint, this role pays about $242k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Product Data Scientist, Media Services

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The Senior Product Data Scientist, Media Services joins the Services Product Data Science & Analytics organization to drive data-driven strategy and deliver scalable machine learning and experimentation solutions. You will own the data science strategy for product, business, and creative teams, focusing on how users discover and engage with content and subscription services. Daily responsibilities include architecting experimentation frameworks, applying advanced causal inference techniques like synthetic control and counterfactual modeling, and developing models for customer scoring and lifetime value estimation. You will utilize Python, SQL, Spark, and LLMs to solve content and customer experience challenges. The role requires expertise in classification, segmentation, and forecasting to measure product impact in non-randomized settings while defining data infrastructure roadmaps for media services like Apple Music and Apple TV.

Skills

Python SQL Machine Learning LLMs GenAI Spark Causal Inference Distributed Computing Data Infrastructure Forecasting Segmentation Classification Synthetic Control Propensity Score Matching Regression Discontinuity Design

What you'll do

Own and drive the data science strategy for product, business, and creative teams.
Translate complex user engagement findings into actionable recommendations for content and subscription services.
Architect and scale experimentation frameworks for A/B tests and observational studies.
Apply advanced ML causal inference techniques to measure product impact in non-randomized settings.
Develop ML models for customer scoring, segmentation, and lifetime value estimation.
Leverage LLMs and GenAI tools to solve content and customer experience challenges.
Define and prioritize the roadmap for data infrastructure, tooling, and new data products.
Set technical direction and mentor data scientists to foster a culture of technical rigor.

What we're looking for

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
Master's or PhD in a quantitative field (preferred).
7+ years of experience extracting insights from large datasets using Python and SQL.
7+ years of experience using statistical methods for classification, segmentation, forecasting, and customer lifetime value.
Demonstrated experience architecting and scaling experimentation platforms, including hypothesis testing and metric tracking.
Strong expertise in causal inference methods such as synthetic control, diff-in-diff, and propensity score matching.
Proven track record of building and deploying ML models that drive business decisions and product outcomes.
Experience with LLMs, GenAI, Spark, or the media/entertainment industry (preferred).

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