Senior Data Scientist – Business Analytics

Summary

Posted:May 05, 2025

Role Number:200601262

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!

Description

The Apple Ads Data Insights team is seeking a talented Sr. 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. – 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

Minimum Qualifications

• 5+ years of Business Analytics or Data Science experience.
• Strong data analysis skills to conduct deep dives by applying statistics and machine learning to generate clear actionable insights.
• Exceptional communication skills, with the ability to communicate complex analyses in a clearly to executive leadership and technical audience.
• Demonstrated ability to collaborate with advertisers to design A/B tests to demonstrate effectiveness of Apple Ads, collaborate with sales leadership to optimize ads inventory yield, and collaborate with product leadership to solve challenging product problems.
• Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
• Proficiency in SQL, data visualization, and a keen eye for design.
• Strong programming ability in Python, and experience with Pandas, SciPy, and Scikit-learn.
• Develop reusable models and data products working closely with Data Engineering team to ensure scalability of models and products in production.

Preferred Qualifications

• 7+ 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.