Sr. Data Scientist - Marketplace, Ad Platforms

Summary
At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both consumers and advertisers - helping people discover content, supporting creators, and protecting and respecting everyone's privacy.

Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery across the App Store. Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content in a brand-safe environment, while supporting publishers and journalists. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with captivated audiences. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone.



Description
Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Insights team is seeking a Senior Data Scientist to join in developing the next generation of analytical solutions in collaboration with Engineering, Product, Sales, Marketing, and Finance.

In this role you'll work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement solutions that are critical to running and growing the Ads marketplace.

Responsibilities include turning the huge amounts of data generated by user searches, app content, and App Store context into business insights. Insights, that'll improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. You'll dig in and get into the details.

The theory behind the techniques are just the beginning. You'll be working on projects where practical applications get applied to real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact.

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