Senior Machine Learning Data Scientist Manager - Apple Ads

About the Role

Key Responsibilities

• Lead development of all predictive models on seasonality, anomaly detection, forecasting metrics for all ad businesses, guiding 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, and extract contextual signals from aggregated interaction data to feed into ads marketplace design.
• Analyze business metrics, their interactions, and framework design on deep-dive investigations, monitor usage metrics, and provide business-based explanations for large-scale trends and patterns.
• Create self-serve analytics tools and data products to enable insights discovery at lightning speed and scale.
• Automate and scale existing analysis methods, and institute new approaches on modeling and analysis frameworks.
• Guide statistical analysis, model development, and visualization of data to help understand how advertisers use Apple Ads for app promotion.
• Support a wide variety of stakeholders including sales, finance, product, engineering, and senior leadership, often presenting insights and distilling findings into clear, actionable insights.
• Lead a team of multiple managers and individual contributors, hire and develop talent, define roles and responsibilities, share strategic vision, establish processes, and develop personal growth plans.
• Empower global business teams with insights to inform and fulfill strategic objectives and goals.

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 experience in querying and transforming unstructured and structured data using Python and SQL.
• Proficiency with analytics and visualization tools such as Pandas, R, Spark, and Tableau.
• Ability to lead analysis across teams of data scientists and data engineers, and collaborate with stakeholders including senior leadership, product managers, finance, and engineering.
• Strong strategic mindset with the ability to translate complex concepts into actionable data-driven strategies.
• Demonstrated business acumen and ability to produce insights that create business impact.
• Excellent communication, collaboration, stakeholder management, and planning skills.

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 experience in a quantitative field such as Engineering, Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, or Statistics.

Benefits & Perks

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