ML Data Scientist Manager Ads Portfolio R&D

Job description

**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

**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range.

This provides the opportunity to progress as you grow and develop within a role.

The base pay range for this role is between $198,300 and $298,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.

Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.

You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.

Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Learn more about Apple Benefits.

(https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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) .

Required Skill Profession

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