Senior Machine Learning Data Scientist Manager - Apple Ads Senior Machine Learning Data Scientist Manager - Apple Ads

About the Role

Key Responsibilities

• Searches, analyzes, and interprets app metadata and App Store content to generate business insights that enhance user experience and app discovery.
• Lead development of all predictive models related to seasonality, anomaly detection, and forecasting metrics for all ad businesses, guiding the entire model lifecycle from PoC to monitoring.
• Lead classification and categorization of queries, apps, and app cohorts using ML models and LLMs, extracting contextual signals from interaction data.
• Analyze business metrics, their interactions, and design frameworks for deep-dive investigations, monitoring usage metrics and explaining large-scale trends.
• Create self-serve analytics tools and data products to enable rapid insights discovery at scale.
• Automate and scale existing analysis methods, and develop new modeling and analysis frameworks.
• Guide statistical analysis, model development, and data visualization to understand advertiser behavior on Apple Ads.
• Support stakeholders across sales, finance, product, engineering, and senior leadership by presenting insights and actionable recommendations.
• Lead and manage a team of managers and individual contributors, hiring, developing talent, and defining strategic vision and processes.
• Empower global business teams with insights to meet strategic objectives.

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.
• Hands-on experience with modern data engineering technologies and cloud-based data warehousing solutions.
• Proficiency in programming with Python and SQL, and familiarity with data 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.
• Strong business acumen with the ability to translate data insights into strategic decisions.
• Excellent communication, stakeholder management, and planning skills.
• Bachelor’s degree or equivalent in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, or related fields.

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, Mathematics, or Statistics.

Qualifications

• Bachelor’s degree or equivalent in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, or related fields.

Benefits & Perks

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