Senior Machine Learning Data Scientist Manager - 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
• Lead development of all predictive models on seasonality, anomaly detection, forecasting metrics
• Lead classification and categorization of queries, apps, and discovery of app cohorts using ML models/LLMs
• Lead analysis of business metrics, their interactions, and framework design on deep-dive investigations
• 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
• 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
• Develop personal development plans

• 10+ years of experience leading data science, machine learning teams including managing managers
• 2+ years of experience in digital advertising and performance-based platforms
• Experience in advanced quantitative methods and model development with a strong focus in exploratory data science
• Experience working with modern data engineering technologies and cloud-based data warehousing solutions
• Familiarity with database modeling and data warehousing principles
• Well-rounded individual with hands-on experience in writing code to query and transform both unstructured and structured data
• Programming skills in Python and SQL
• Comfort with advanced analytics and data visualization tools and libraries such as Pandas, R, Spark, and Tableau
• Ability to guide and lead analysis across teams of ML data scientists and data engineers
• Seamless collaboration with a wide range of stakeholders including senior leadership, product managers, finance, engineering
• Strategic mindset with an aptitude to condense complex concepts, analysis, and models into actionable data-driven solutions and strategies
• Demonstrated business acumen; ability to understand and anticipate the decisions stakeholders must make supported by data
• Excellent communication, collaboration, stakeholder management, and planning skills
• Demonstrated success building buy-in for an innovative and bold vision
• Ability to work effectively with engineering partners to meet the data needs of the business
• Deep knowledge and experience in digital, performance-based advertising platforms
• Bachelor's, or equivalent experience in a quantitative field, such as Engineering, Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience

• Comprehensive medical and dental coverage
• Retirement benefits
• 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

Apple is committed to providing its employees with equal opportunity for learning and personal growth