ML Data Scientist - Business Analytics

Apple Inc. • Austin, TX

52d

About The Position

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact. We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. The Apple Ads Data Insights team is seeking a dedicated Data Scientist who will innovate while developing the next generation of analytical solutions working multi-functionally with Sales, Marketing, Finance, Product, and Engineering. Analytics is a team sport, and in your role, you will be a key part of data-centric team that delivers insights that have direct and measurable impact. What makes this role exciting is the opportunity to shape how large language models and data science drive business decisions.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. Dig in and get into the details. The theory behind the techniques are just the beginning. Work 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. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team. Support Product, Engineering, and the Executive Team with analyses, and data products to improve product performance, deepen customer insight and deliver business impact.

Requirements

• Experience in the mobile advertising industry or related field.
• Familiarity of Causal Inference packages such as CausalImpact, DoubleML, DoWhy, and EconML.
• Familiarity with job orchestration frameworks such as Airflow.
• Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.

Responsibilities

• Support Product, Engineering, and the Executive Team with analyses, and data products to improve product performance, deepen customer insight and deliver business impact.

What This Job Offers

• Job Type: Full-time
• Industry: Computer and Electronic Product Manufacturing
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees