Applied Scientist – Advanced Analytics Team, Worldwide Business Process Re-Engineering

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


Role Number:200229330
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 craft products - we build 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 Worldwide Business Process Re-Engineering Advanced Analytics team is looking for an experienced Applied Scientist with deep passion for analytical solutions that have direct and measurable impact to Apple and its customers. At Apple, the growing supply chain complexity and scale presents incredible challenges to traditional analytics techniques. You will be part of a small hard-working team of scientists responsible for crafting and developing sophisticated analytics models for strategic and tactical decision-making.

Key Qualifications

  • Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of architecting and developing in-depth analytical solutions
  • Practical experience solving real world problems and sound understanding of optimization algorithms and tools (Gurobi, Cplex, or Xpress)
  • Deep understanding of predictive modeling and algorithms for classification, regression, clustering, and anomaly detection
  • Innate curiosity and the ability to identify, define and execute project plans and develop modeling approaches suitable for the problem
  • Sound interpersonal skills - adept at messaging domain and technical content, at a level appropriate for the audience and an excellent teammate - invested in the collective success of the team and project outcomes
  • Experience with data acquisition tools (e.g. SQL), analytics and data visualization. Familiarity with key technologies i.e Hadoop, Spark, Hive. Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch. Experience prototyping, developing software and implementing data science pipelines and applications in programming languages (Python/Java/C++)


Key responsibilities include: • Engage with business teams to find opportunities, understand requirements, translate those requirements into technical solutions and drive critical projects • Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem • Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Improve and evolve solutions to meet changing business needs with agility. Work collaboratively across teams and present results of analyses and models to partners and senior leaders • Research new technologies and methods across data science, data engineering and visualization to improve the technical capabilities of the group

Education & Experience

• PhD in Computer Science, Statistics, Applied Math, Operations Research or a related field and 5+ years of proven experience OR • MS in related field with 8+ years hands-on experience • Experience in forecasting, CVML and/or NLP is a plus • Experience in building large scale execution models under uncertainty is desired

Additional Requirements