Data Scientist - Business Analytics, Apple Ads

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 sponsor ships 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 Data Scientist to develop and deliver analytical solutions in close partnership with Sales, Marketing, Finance, Product, and Engineering. Analytics is a team sport, and in this role you will be a key contributor to a data-centric team whose work directly informs business decisions and outcomes. What makes this role exciting is the business complexity, scale, and high standards for information architecture, performance optimization, and actionable insights.

This role is well suited for someone who enjoys working through ambiguous problems, understanding how metrics move, and translating analysis into clear recommendations for stakeholders.

3+ years of experience in Business Analytics or Data Science Experience in ad tech, digital advertising, or mobile advertising, which can accelerate ramp-up but is not required Familiarity with job orchestration frameworks such as Airflow

2-4 years of experience in Business Analytics, Data Science, or a related analytical role Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques Exceptional communication skills, with the ability to communicate complex analyses clearly to executive and technical audiences Demonstrated ability to collaborate with cross-functional partners such as Product, Sales, and Marketing to design experiments and analyses that inform business decisions Proficiency in SQL and data visualization, with a strong eye for design and clarity Strong programming skills in Python, with experience using libraries such as Pandas, Sci Py, and scikit-learn Comfortable querying and analyzing large datasets using tools such as SQL, Snowflake, or similar analytical data platforms Bachelor's degree in a related field, or equivalent industry experience