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 the Manager for the Ads Portfolio Research team you will build and lead a specialized group of data scientists. Your teams 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 is an opportunity for an emerging leader to shape a new function from the ground up combining deep analytical work with strategic business 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.
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.
Bachelors in a Data Science related field
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.
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