ML Data Science Manager - Marketplace Analytics, Apple Ads

The Data Insights team within Apple Ads is seeking a bright and endlessly curious data expert to lead our Core Insights team that supports the organization

• 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
• 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
• Lead creation of self-serve, analytics tools and data products to enable insights discovery at lightning speed and scale
• Automate and scale existing analysis methods
• 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 ranging from sales, finance, product, engineering, and senior leadership
• Frequently present insights to senior leaders and be able to distill findings into clear, comprehensible, and actionable insights
• Lead a team of multiple managers and ICs
• Hire and develop leading talent with proven, relevant, data science skills
• Motivate and ensure success for the team by defining roles and responsibilities that are clearly communicated, define and share a strategic vision for the function, establish processes, and develop personal development plans
• Empower global business teams with insights to inform and fulfill strategic objectives and goals

• 10+ years of data science experience with 3+ years of experience leading data science, or machine learning teams
• 2+ years of experience in mobile advertising and performance-based advertising platforms
• Experience in statistical analysis, machine learning models, and advanced quantitative methods with a strong focus in experiment design and causal inference
• Exceptional programming skills in Python and SQL
• Comfort with advanced analytics and data visualization tools and libraries such as Pandas, R, Spark, and Tableau
• Deep familiarity with commonly used Statistics and ML libraries such as ScikitLearn, SparkMLLib, SciPy, and/or StatsModels
• Experience working with modern data engineering technologies and cloud-based data warehousing solutions
• Familiarity with database modeling and data warehousing principles
• Exceptional communication, collaboration, stakeholder management, and planning skills
• Demonstrated success building buy-in for an innovative and bold vision
• Ability to guide and lead ML data scientists embedded into engineering capabilities
• Seamless collaboration with a wide range of stakeholders including senior leadership, product managers, finance, engineering
• Ability to create trust
• Strategic mindset with an aptitude to condense complex concepts, analysis, and models into actionable data-driven solutions and strategies
• Bachelor's in a quantitative field, such as Engineering, Computer Science, Statistics, Applied Mathematics, Econometrics, Operations Research, Social Sciences, or equivalent professional experience

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary restricted stock unit awards
• Employee Stock Purchase Plan
• Discretionary bonuses or commission payments
• Relocation assistance

At Apple, we work every day to create products that enrich people’s lives