Data Scientist - Business Analytics

Apple • Austin, TX

74d

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 talented 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 business complexity, scale, and high standards for Information Architecture, performance optimization, and actionable insights.

Requirements

• 3+ years of Business Analytics or Data Science leadership experience.
• Experience and knowledge of ad tech, digital and mobile advertising experience is a big plus.
• Familiarity with job orchestration frameworks such as Airflow.

Responsibilities

• Working closely with other members of a data-centric team to execute on analyses as well as for contributing to the exploration, development, execution, and measurement of analytical solutions that are critical to running the business.
• Monitor business metrics and identify key drivers for large scale trends and patterns in business health.
• Translate ambiguous business requirements into actionable insights with an emphasis on accuracy.
• Combine Information Architecture with Apple standards of design & performance to drive dashboard usability.
• Build statistical models and ML models to provide business-pertinent insights.
• Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees