Job Details

Role Number: 200622986-2459

Summary

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

Within Advertising Platforms, we are forming a new Data Science Research team. This team will be dedicated to pioneering novel, data-driven strategies for managing and optimizing advertiser investments across the Apple Ads portfolio. By applying sophisticated quantitative techniques, this team will conduct foundational research to help our most strategic clients approach their advertising spend with the rigor of a financial portfolio. This role will build, lead, and mentor this new team of data scientists.

As the Manager for the Ads Portfolio Research team, you will build and lead a specialized group of data scientists. Your team's mission is to apply principles from quantitative finance and economics to the Apple Ads ecosystem. You will guide their research into developing sophisticated models and frameworks that help our largest advertisers manage their ad spend as a strategic investment portfolio.

This is an opportunity for an emerging leader to shape a new function from the ground up, combining deep analytical work with strategic business impact.

Minimal travel required. This role is ideal for a data science leader who is passionate about building teams and exploring the intersection of advertising technology and financial theory.

Minimum Qualifications

• 3+ years of experience in data science, quantitative analysis, or a related field.

• 1+ years of experience in a formal management or team lead capacity, with a passion for mentoring and developing data scientists.

• A strong background in quantitative finance, algorithmic trading, portfolio management, or econometrics is a significant advantage.

• Deep understanding of statistical modeling, time-series analysis, and optimization techniques. Familiarity with concepts like portfolio theory, risk modeling, and causal inference.

• Strong communication skills and the ability to distill complex quantitative research into clear, actionable strategies for a variety of audiences.

• Experience presenting complex technical concepts to both technical and non-technical stakeholders. Direct client-facing experience is a plus.

• Familiarity with the digital advertising landscape, particularly search and mobile app marketing, is highly preferred.

• A strong passion for applied research and analytics, with the ability to work closely with business teams, understand strategic requirements, and manage a complex research agenda.

• Bachelor's in a Data Science related field

Preferred Qualifications

• 6+ years of experience in data science, quantitative analysis, or a related field.

• 3+ years of experience in a formal management or team lead capacity, with a passion for mentoring and developing data scientists.

• Master's or PhD in a Data Science related field

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .