ML Data Scientist Manager - Ads Portfolio R&D

About the role

Within Apple Ads, 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.","responsibilities":"Lead, Mentor, and Grow: Build and manage a team of early-to-mid-career data scientists, fostering a culture of rigorous research, innovation, and intellectual curiosity. Define the Research Vision: Define the team's research agenda and strategic vision, identifying key questions around ad campaign diversification, budget allocation, risk/return trade-offs, and performance forecasting. Guide Quantitative Research: Guide the team in leveraging advanced statistical and machine learning techniques to model the complex dynamics of the ad marketplace and advertiser performance. Translate Research into Strategy: Develop frameworks for communicating the value of a portfolio-based approach to advertising, translating concepts like 'alpha' and 'diversification' into the language of marketing objectives. Partner with Sales, Product and Marketing: Collaborate closely with Sales, Product, and other Data Insights teams to translate research findings into practical strategies and potential product features. Engage with Key Clients: Selectively engage with key clients (approximately 10% of your time) alongside our Sales partners to share high-level research findings, validate models, and establish Apple as a thought leader in sophisticated advertising strategy. Champion Privacy: Work with Privacy and Legal teams to ensure all research and data usage adheres to Apple's strict commitment to user privacy. Measure Impact: Develop methods to track the influence and adoption of the team's research on advertiser behavior and performance.