Senior Product Data Scientist in Causal Inference and ML, Media Services

Apple • Cupertino, CA

21h

About The Position

Our team is looking for a Senior Data Scientist to own and drive data-driven
strategy and deliver scalable ML and experimentation solutions for our product
and business teams. As a key member of our diverse and multi-faceted
organization, you will have the rare and exciting opportunity to work with
datasets of unique magnitude, richness, and dedication to customer privacy that
will frequently require innovative approaches. You will work collaboratively
with partners across Business, Marketing, Product, Content, and Engineering
daily to deliver material customer and business value.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 7+ years experience extracting insights from large datasets, employing programming languages including Python and SQL.
• 7+ years experience employing statistical methods to tackle business problems related to classification, segmentation, forecasting, and customer lifetime value.
• Demonstrated experience architecting and scaling experimentation platforms, including hypothesis testing, metric tracking, and experimentation strategy.
• Strong expertise in causal inference methods including synthetic control, diff-in-diff, propensity score matching, and regression discontinuity design.
• Proven track record of building and deploying ML models that directly drive business decisions and product outcomes.
• Demonstrated ability to set technical direction and influence cross-functional roadmaps at a senior level.
• Strong interpersonal and communication skills with ability to translate complex technical concepts for non-technical stakeholders.

Nice To Haves

• Master's or PhD in a quantitative field.
• Experience productionizing ML models in collaboration with engineering teams.
• Experience with LLMs and GenAI applications in a production or customer-facing context.
• Experience with distributed computing frameworks like Spark.
• Experience with Marketing Mix Models and matched market testing.
• Experience in media or entertainment industry.
• Passion for film, television, and/or music domains.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level