Data Scientist - Business Analytics

Apple • Austin, TX

73d

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

• 1+ years of Business Analytics or Data Science experience.
• Strong data analysis skills to conduct deep dives by applying statistics and machine learning.
• Exceptional communication skills to communicate complex analyses clearly to executive leadership and technical audience.
• Comfortable with a variety of data stores such as Hadoop and Snowflake.
• Familiar with distributed analytics engines such as Spark/PySpark.
• Proficiency in SQL and data visualization.
• Strong programming ability in Python, and experience with Pandas, SciPy, and Scikit-learn.
• Bachelor's degree in a related field of study, or equivalent industry experience.

Nice To Haves

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

Responsibilities

• Develop analytical solutions working multi-functionally with Sales, Marketing, Finance, Product, and Engineering.
• Deliver insights that have direct and measurable impact.
• Collaborate with advertisers to design A/B tests to demonstrate effectiveness of Apple Ads.
• Collaborate with sales leadership to optimize ads inventory yield.
• Collaborate with product leadership to solve challenging product problems.
• Develop reusable models and data products working closely with Data Engineering team.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees