ML Data Scientist - Forecasting (Consumer Analytics), 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
We're seeking a Machine Learning Data Scientist to join our Consumer Analytics Team. As a key member of our data-centric team, you'll drive the exploration, analysis, development, execution, and measurement of analytical solutions critical to our business. Your work will transform data generated by user searches, app content, and App Store context into business insights, improving customer experiences and driving discovery and productivity for app developers!

Successful analytics teams include data scientists and data engineers working hand in hand to build insightful and efficient solutions. In this role, you'll be a key player in a multi-functional team that delivers insights with direct and measurable impact!

- Support Finance, Product, Sales, and the Executive Team with forward looking expectations of our marketplace performance.

- Design and evaluate strategies that help define opportunities for increased usage, improved marketplace performance, and greater customer happiness

- Monitor usage metrics and provide business-based explanations for large scale trends and patterns in advertiser lifecycle behavior. Detect and surface anomalies

- Develop reusable models and assets working closely with Data Technology team, to ensure scalability and industrialization as models move into production

- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results

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