Economist, ML Data Scientist - Data Solutions & Initiatives

$207,800 - $312,200/Yr

Apple - Cupertino, CA

Full-time - Senior

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Economist/ML Data Scientist role at Apple involves evaluating and optimizing machine learning models, particularly for sales forecasting and demand prediction. The position requires collaboration with cross-functional teams to deliver insights and analytics that support the Sales and Sales Finance organizations. The ideal candidate will leverage their expertise in machine learning algorithms and data processing to drive innovation and improve decision-making processes within the company.

Responsibilities

• Collaborate with cross-functional teams to plan, design, build, and deploy scalable data models and machine learning solutions.
• Analyze large-scale sales and finance datasets to extract insights and troubleshoot forecasting models.
• Implement metrics to measure model performance and effectiveness, driving continuous improvements in prediction accuracy.
• Conduct research to develop advanced decision-making systems and assess the impact of new demand-generation programs.
• Communicate complex data insights and model outcomes to stakeholders through clear data storytelling.
• Build and maintain internal visualization tools to support data-driven decisions.

Requirements

• PhD in Economics, Operations Research, Marketing Science or related field required.
• 5+ years experience applying econometric models required.
• Strong background in statistics, econometrics, operations research, or quantitative marketing.
• Expert R/Python programmer also proficient in SQL.
• Expertise in data wrangling and developing data visualizations & reporting with tools such as Tableau, Superset, AWS.

Nice-to-haves

• Experience in in-depth analysis of machine learning model failures.
• Experience with machine learning interpretability methods.
• Experience in design/development of complex decision-making systems.
• Detail-oriented to understand the workings of complex algorithms.
• Self-motivated and curious with creative and critical thinking capabilities.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses including tuition
• Discretionary bonuses or commission payments
• Relocation assistance