ML Data Scientist Manager - Forecasting & Supply, Apple Ads

As the MLDS Manager for Time-Series Forecasting, you will be the primary technical lead overseeing the forecasting capabilities for all advertising placements across the Apple ecosystem. Your team’s models will serve as the strategic backbone for supply estimates, revenue reviews, and business context, directly impacting ad delivery in some of the world's most high-traffic digital environments.

This is a high-visibility leadership role that sits at the intersection of sophisticated Machine Learning and large-scale digital inventory. You will be responsible for building a unified, automated forecasting engine that scales across diverse surfaces—including the App Store, Apple News, and emerging inventory.

Beyond model accuracy, you will champion "Enterprise-Grade" engineering. Your goal is to move the team toward zero-touch forecasting with full transparency, abstracting away manual workflows and infrastructure complexities. This allows your data scientists and stakeholders to move past the plumbing and focus on pushing the boundaries of what is possible in time-series analysis and LLM-powered forecasting.

As part of this team, you will:

- Lead, Mentor, and Grow: Build and manage a team of data scientists, fostering a culture of technical excellence, ownership, and strong business partnership.
- Own Forecasting Strategy: Define and drive the roadmap for forecasting models across all ad placements, ensuring high-quality supply and demand estimates.
- Deliver Production-Grade Models: Lead the development and deployment of robust, scalable forecasting systems that support revenue planning and executive reporting.
- Translate Insights into Decisions: Partner with Finance, Sales, and Product teams to translate model outputs into actionable business insights and strategic recommendations.
- Advance ML Capabilities: Guide the team in applying advanced time-series and machine learning techniques, including deep learning and emerging LLM-based approaches.
- Drive Automation and Scale: Evolve forecasting systems toward automated, low-touch solutions with strong data foundations and infrastructure.
- Ensure Transparency and Trust: Establish frameworks for model interpretability, performance tracking, and stakeholder visibility into forecasting outputs.

7+ years of experience in data science, predictive modeling, or a related quantitative field.
1+ years of experience in a formal management or team lead capacity, with a track record of mentoring and developing data scientists.
Strong expertise in time-series forecasting, including both classical statistical methods (e.g., ARIMA, BSTS) and modern machine learning approaches (e.g., LSTMs, Transformers).
Proven ability to deliver models in production environments, working with large-scale, complex datasets.
Strong communication skills, with the ability to translate technical outputs into clear business insights for cross-functional stakeholders.
Experience working with partners in Finance, Product, or Business teams to inform decision-making.
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics, or a related discipline.

Experience in digital advertising, marketplace dynamics, or demand/supply forecasting.
Experience building or scaling automated data science systems and workflows.
Familiarity with deep learning, LLMs, or advanced ML techniques applied to forecasting problems.
Master’s or PhD in a quantitative field.

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.

We are looking for a Data Scientist Manager to join Apple Ads. This role sits within Core Insights, the team responsible for forecasting business performance, enabling financial planning, and providing decision-ready insights for leadership across Apple Ads.

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

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.