Summary

Posted: Nov 13, 2024

Role Number:200576599

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just build products - they craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Capacity Program Management team is a high impact team that provides leaders critical insights that drive decision-making and execution for Apple's largest business. The team works on critical projects such as defining iPhone sourcing strategy, settling quarterly and launch volumes that form the basis for revenue guidance, influencing key inputs for multi billion dollar budgets and navigating complex operational challenges. On a day to day basis the team plays a meaningful role in defining and leading strategic and operational priorities as well as improvements across the iPhone organization. The ideal candidate will help us to go further into the areas of deep data analytics and operations research in order to drive decision support.

• 3-5 years of professional experience developing and maintaining Operations Research and data analysis software in a production environment in Python, C++, Java, etc.
• Solid understanding of optimization tools such as: CPLEX, Gurobi or FICO express.
• Experience conducting data analysis using Python, R, and/or SQL and presenting to a non-technical audience

• Experience driving critical research and development and developing in-depth analytical understanding of systems.
• Experience planning supply chain and operational structures in complex and dynamic environments
• Experience with data acquisition tools, large datasets and data mining
• Working knowledge of predictive modeling
• Node.js and/or javascript experience
• Self-sufficient with an ability to excel in an environment of autonomy amidst ambiguity. Identify areas within operations that would benefit from your analysis and feedback.
• Strong communication and analytical skills - adept at messaging domain and technical content, at a level appropriate for the audience.
• Degree in Computer Science, Statistics, Applied Math, Operations Research, Industrial Engineering or a related field. Master's degree preferred.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.