Senior Product Data Scientist In Causal Inference And ML, App Store

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 month ago
7-9 years
Culver City, California, United States
work from office

Posted: 1 month ago
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Applicants: 149+
Job Description
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Job Description

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. Our team is involved in all stages of the product development lifecycle, from sizing, ideation, and prioritization, to instrumentation and measurement, AB testing, and post-launch feature evaluation and incremental impact assessment. We also work on diverse, collaborative projects around personalization, app quality and review, user segmentation, subscriptions, search, etc. and touch on many parts of the App Store business.
  • Bachelors 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.

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  • Masters 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.

Skills

PythonTestingSql

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

09 Jun 26, 04:49 PM IST

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Senior Product Data Scientist In Causal Inference And ML, App Store

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