Summary

Posted: Jan 21, 2021

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...Summary

Summary

Posted: Jan 21, 2021

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.

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