KDnuggets Apple: Data Science Engineer

Seeking a Data Science Engineer to lead the design and implementation of systems and tools to support the fraud prevention efforts of Analytic Insight.

Apple
Company: Apple
Location: Austin, TX
Web: www.apple.com
Position: Data Science Engineer

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Job Summary

Apple’s Analytic Insight team is responsible for mitigating fraud, waste and abuse company-wide. AI Data Science Engineering is building an environment to enable cutting-edge data analysis over Petabytes of data. We work side-by-side with data scientists and implement scalable, easy-to-use systems and tools. We are seeking a customer-oriented, passionate and driven Data Science Engineer with experience in building big data systems. Must be able to lead the design and the implementation of a big data analytics system.

Key Qualifications

  • Mastery of one of C++, Python, Java, Scala or equivalent language
  • Experience with Relational databases and NoSQL databases
  • Hands on experience with Hadoop, Spark, Hive/Pig, HBase
  • Solid understanding of the full software development lifecycle
  • Excellent problem solving, critical thinking, and communication skills
  • Strong ability to evaluate and apply new technologies in a short time
  • Experience in building data science or data analysis tools a plus
  • Machine learning background a plus
  • Familiar with Agile software development process, Test-Driven development and Continuous Integration a plus

Description

You will lead the design and implementation of systems and tools to support the fraud prevention efforts of Analytic Insight. The job will include:

  • Working with infrastructure teams to design and implement the Big Data data warehouse and analytics platform
  • Design and implement proof-of-concept solutions for new technologies and machine learning algorithms
  • Develop new tools, capabilities and infrastructure to improve how data scientists conduct data analysis and model research

The candidate is expected to be self-motivated, pro-active and solution-oriented individual.

Education

BS degree in computer science or equivalent field plus 7-10 years experience, or equivalent.