Machine Learning Engineer – Online Retail Analytics

Apple
Apple

Job Overview

Key Qualifications

  • Strong solid understanding of data science algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks.
  • Familiarity with database modeling and data warehousing principles and SQL.
  • Familiarity with Big Data tools like Spark, Hive etc.
  • Strong programming skills in Java, Python, or similar language.
  • Ability to comprehend and debug sophisticated systems integrations.
  • Ability to extract relevant business insights and patterns from data.
  • Creativity to engineer novel solutions, and to push beyond current tools and approaches.
  • Good interpersonal, written, and verbal communication skills.
  • Ability to work independently and make key decisions on projects.
  • Description

    – Conceive and design end to end data science solutions to support Apple’s business units and initiatives.- Work with business owners to map business requirements into technical solutions.- Develop and implement data science solutions to fit business problem, which may include applying algorithms from a standard tool or custom algorithm development.- Work closely with data warehouse architects and software developers to generate flawless business intelligence solutions for end users.- Support production analytic solutions.- Perform ad hoc statistical and data science analyses.- Present results of analyses to business units.

    Education & Experience

    Ph.D. in Data Science, Machine Learning, Statistics, Operations Research or related fieldOr a M.S. in related field with 5+ years experience applying data science techniques to real business problems.

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