ML Data Scientist Manager - Ads Portfolio R&D

Apple • New York, NY

100d

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! 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.

Requirements

• 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.
• Strong background in quantitative finance, algorithmic trading, portfolio management, or econometrics.
• 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 to distill complex quantitative research into clear strategies.
• 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.
• Bachelor's in a Data Science related field.

Nice To Haves

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

Responsibilities

• Build and lead a specialized group of data scientists.
• Apply principles from quantitative finance and economics to the Apple Ads ecosystem.
• Guide research into developing sophisticated models and frameworks for managing ad spend.
• Shape a new function from the ground up combining analytical work with strategic business impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees