ML Data Scientist Manager - Ads Portfolio R&D

ML Data Scientist Manager - Ads Portfolio R&D

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 sizesfrom small app developers to big, global brands. Because when advertising is done right, it benefits everyone!

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.

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

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.

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.