Machine Learning Data Scientist

    • Cupertino, CA

Summary

Posted: Aug 20, 2020

Weekly Hours: 40

Role Number: 200167588

Are you interested in applying your quantitative skills in a fast paced tech environment? If so, then this is the job for you. The Worldwide Sales and Operations Advanced Analytics team is looking for an experienced Applied Scientist with a deep passion for analytical solutions that have direct and measurable impact to Apple and its customers. You will design, build and deploy predictive and prescriptive end-to-end solutions for strategic and tactical supply chain decision-making. In this position, you will have a history of engaging with business teams to find opportunities, driving critical projects, building and sustaining production applications and working collaboratively across teams to get things done. This position is based in Cupertino, CA.

Key Qualifications

  • 5+ years practical experience solving real world problems and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Experience with database modeling, data warehousing principles and SQL
  • Familiarity with big data technologies eg: Hadoop, Spark, Hive
  • Ability to comprehend and debug complex systems integrations spanning tools and teams. Strong critical thinking and problem solving ability
  • 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 expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem
  • Strong partner - 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


Description

• Implement data science pipelines and applications in a general programming language such as Python, Scala, Java or C++ • Deliver data analytics to the organization at scale as a key member of a small team of experts • Build large scale execution models in ambiguous environments • Collaborate effectively with other business partners, data scientists, finance and IT groups • Determine essential tradeoffs within the models and take an active role in clearly communicating the recommendations to senior management

Education & Experience

• PhD/MS in Computer Science, Applied Math, Statistics, Operations Research or related field

Additional Requirements


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