ML Data Scientist Manager - Ads Portfolio R&D

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 2 weeks ago
1-3 years
New York City, New York, United States
work from office

Posted: 2 weeks ago
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Applicants: 149+
Job Description
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Job 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 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 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.
  • 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.
  • Looking to get Placed? Try our Placement Guarantee Plan

    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.
  • Masters or PhD in a Data Science related field

Skills

FinanceTrading

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

31 Mar 26, 02:08 PM IST

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ML Data Scientist Manager - Ads Portfolio R&D

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