Senior ML Data Scientist - Marketplace, Apple Ads

Senior ML Data Scientist - Marketplace, Apple Ads

Cupertino, California, United States Software and Services

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.

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 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 will work as a key member of a data‑centric team to drive the exploration, analysis, development, execution, and measurement solutions that are essential 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 that improve the customer experience for the end‑user as well as drive discovery and efficiency for app developers. This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. 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 of these approaches get applied in 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.

We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.

• Support Marketplace Product, Engineering, and the Executive Team with analyses, and data products to improve product performance, deepen customer insight and deliver business impact.
• Empower the product and algorithm engineering team with insights to advise and fulfill their strategic objectives and goals.
• Quantify the impact of marketplace initiatives on advertiser impact, and business performance.
• Design experiments that help define opportunities for pricing, matching, and prediction models leading to improved marketplace performance, and positive advertiser impact.
• Monitor usage metrics and provide business‑based explanations for large scale trends and patterns in advertiser lifecycle behavior.
• Develop reusable models and data products working closely with Data Engineering team to ensure scalability of models and products in production.
• Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers

• 2+ years of recent experience in a data science role.
• Programming skills in Python and SQL, and familiarity with machine learning, such as scikit‑learn, xgboost, PyTorch, Sci Py is necessary.
• Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi‑experimentiation methods.
• Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
• Comfortable with a variety of data stores such as Hadoop, and…