Manager, Machine Learning- Advanced Analytics Team, Worldwide Business Process Re-Engineering

$219,300 - $329,600/Yr

Apple - Sunnyvale, CA

Full-time - Manager

Sunnyvale, CA

Computer and Electronic Product Manufacturing

About the position

Apple is seeking a dynamic and experienced Machine Learning Manager to lead the Advanced Analytics team within the Worldwide Business Process Re-Engineering organization. This role involves overseeing a team of data scientists to design and develop advanced data science solutions that address the complexities of supply chain analytics. The manager will be responsible for guiding the team, collaborating with data engineers, communicating results to senior leadership, and driving key cross-functional initiatives across Apple's Operations teams.

Responsibilities

• Lead and grow a team of highly skilled data scientists, providing guidance, mentorship, and support.
• Architect and collaborate with data engineers on data strategy and infrastructure to implement robust, scalable solutions.
• Communicate results of analyses and models to partners and senior leaders, influencing decision-making with executive leadership.
• Innovate and foster an environment of learning and development, focusing on simplicity while handling complex challenges.
• Engage with global business leaders to identify high ROI opportunities and translate requirements into technical solutions.
• Own and drive key cross-functional initiatives across Apple's Operations teams.

Requirements

• PhD/MS in Computer Science, Statistics, Applied Math or a related field.
• 12+ years of industry experience, with a proven track record of 10+ years managing and developing a team in data science, machine learning, and analytics.
• Experience leading high-performing teams and engaging with senior stakeholders.
• Practical experience solving real-world problems and understanding predictive modeling and algorithms (e.g., anomaly detection, NLP, LLM, CVML).
• Expert practical knowledge of algorithms and strong understanding of levers impacting ML accuracy.

Nice-to-haves

• Experience in the application of data science within an Operational or Supply Chain context.

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
• Participation in Apple's Employee Stock Purchase Plan