Senior Machine Learning Data Scientist Manager - Apple Ads

About the Role

Key Responsibilities

• Apply best-in-class modeling and analytics techniques to enable rapid insights discovery for multiple business, cross-functional teams, and senior leadership.
• Lead development of all predictive models on seasonality, anomaly detection, forecasting metrics for all ad businesses.
• Guide end-to-end lifecycle stages from PoC development, testing, industrialization, and monitoring model performance.
• Lead classification and categorization of queries, apps, and discovery of app cohorts using ML models/LLMs.
• Extract contextual signals from aggregated interaction data to feed into ads marketplace design.
• Lead analysis of business metrics, their interactions, and framework design on deep-dive investigations.
• Monitor usage metrics, provide business-based explanations for large-scale trends and patterns.
• Create self-serve, analytics tools, and data products to enable insights discovery at scale.
• Automate and scale existing analysis methods and institute new modeling and analysis frameworks.
• Guide statistical analysis, model development, and visualization of data to understand how advertisers use Apple Ads.
• Support stakeholders including sales, finance, product, engineering, and senior leadership, often presenting insights to senior leaders.
• Lead a team of multiple managers and ICs, hiring and developing talent, defining roles, responsibilities, and strategic vision.

Requirements

• 10+ years of experience leading data science and machine learning teams including managing managers.
• 2+ years of experience in digital advertising and performance-based platforms.
• Experience with advanced quantitative methods and model development including regression, classification, clustering, time-series analysis, and LLMs.
• Experience working with modern data engineering technologies and cloud-based data warehousing solutions.
• Familiarity with database modeling and data warehousing principles.
• Hands-on coding experience in Python and SQL, with proficiency in data visualization tools such as Pandas, R, Spark, and Tableau.
• Ability to guide analysis across teams of ML data scientists and data engineers.
• Strong collaboration skills with stakeholders including senior leadership, product managers, finance, and engineering.
• Strategic mindset with the ability to translate complex concepts into actionable data-driven strategies.
• Business acumen with the ability to understand and anticipate stakeholder decisions supported by data.
• Excellent communication, stakeholder management, and planning skills.
• Deep knowledge of digital, performance-based advertising platforms.
• Bachelor’s degree or equivalent in a quantitative field such as Engineering, Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, or Statistics.

Nice to Have

• 15+ years of experience leading data science and machine learning teams including managing managers.
• 5+ years of experience in digital advertising and performance-based platforms.
• Ph.D. or equivalent in a quantitative field such as Engineering, Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, or Statistics.

Qualifications

• Bachelor’s degree or equivalent in a quantitative field.
• Additional preferred qualifications include 15+ years of leadership in data science and 5+ years in digital advertising.

Benefits & Perks

• Base pay between $228,100 and $393,800, depending on skills, qualifications, experience, and location.
• Participation in Apple's discretionary employee stock programs, including restricted stock units and stock purchase plans.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• Range of discounted products and free services.
• Reimbursement for educational expenses related to career advancement.
• Potential eligibility for discretionary bonuses or commissions and relocation assistance.