Data Scientist

Full time

Employment Information

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Are you interested in applying your quantitative skills in a fast paced tech environment? If so, then this is the job for you. The Global Sourcing & Solutions team is looking for a top research scientist in optimization and stochastic systems to design and create advanced analytics models for strategic and tactical decision-making as well as drive the development of our future supply-chain infrastructure and planning processes.

Key Qualifications

  • The qualified candidate will have a proven history of driving critical research and development and developing in-depth analytical understanding of systems
  • 10+ years hands-on experience in optimization modeling, simulation and analysis
  • 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
  • Expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem
  • Strong team player - 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
  • Working knowledge of optimization tools (Gurobi, Cplex, or Xpress)
  • 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)


The individual will be part of a small team of experts responsible for the optimization of our current supply chain and designing future networks. You will be instrumental in working closely with business stakeholders, research colleagues, finance and IT groups in incorporating the essential tradeoffs within the models and take an active role in effectively communicating the recommendations to senior management. Education & Experience PhD in Computer Science, Statistics, Applied Math, Operations Research or a related field

Additional Requirements

Knowledge of stochastic systems analysis Familiarity with machine learning concepts 4 years plus hands-on experience in optimization modeling, simulation and analysis. Strong critical thinking and problem solving ability. Programming skills with at least one object oriented language (e.g. Java) and one scripting language (e.g Python). Experience in using statistical analysis software packages (e.g. R) Strong communication and presentation skills.

Pay & Benefits

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 $199,800.00 and $300,200.00, 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.


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