Operations Research Analytics Lead

Santa Clara Valley (Cupertino), California, United States
Operations and Supply Chain


Weekly Hours: 40
Role Number:200182569
Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Extraordinary operational excellence is a cornerstone of Apple's ability to consistently surprise and delight our customers. In this position, you'll be part of the Supply Demand Management team, a highly influential group within Apple, challenged to scale at the pace of the company’s overall growth you’ll play a critical role in ensuring operational and financial success for the organization.

Key Qualifications

  • Experience driving critical research and development and developing in-depth analytical understanding of systems.
  • Hands-on experience in complex data modeling, simulation and optimization.
  • Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience.
  • Experienced at understanding key performance levers and metrics to highlight operational issues and drive improvement.
  • Innate curiosity and bias to action with expertise in identifying, defining and executing project plans
  • Identify optimal, problem-specific modeling approaches
  • Phenomenal teammate - invested in the collective success of the team and project outcomes
  • Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity
  • Solid understanding of optimization tools (Gurobi, Cplex, or Xpress)
  • Working knowledge of predictive modeling and ML tools (scikit, R)
  • Experience with data acquisition tools (e.g. SQL, Apache Spark etc.), large datasets (Hadoop) and data mining
  • Experience prototyping and developing software in programming languages (Java/ C++/Python/Perl).
  • Exceptional analytical capabilities, business savvy and leadership skills.


• Solve complex business challenges through applied analytics • Craft supply chain models and methodologies to help drive strategic and tactical decisions • Collaborate closely with other Operations business partners, research colleagues and IT groups to incorporate tradeoffs within models • Take an active role in communication recommendations to senior management • Build close relationships with business partners and influence tactfully in a matrixed organization

Education & Experience

• Degree in Computer Science, Statistics, Applied Math, Operations Research, Industrial Engineering or a related field and Masters or equivalent experience required

Additional Requirements