Data Science Engineer

Apple
Apple

Job Overview

Key Qualifications

  • Mastery of one of Python, Java, Scala, C++ or equivalent language
  • Experience building data science or data analysis tools on Hadoop/cloud based systems
  • Some experience with Docker, Kubernetes, or cloud platform deployment
  • Experience with Relational databases and NoSQL databases
  • Demonstrated understanding of the full software development lifecycle
  • Excellent problem solving, critical thinking, and communication skills
  • Solid grasp of computer science fundamentals including data structures and algorithms
  • Solid ability to evaluate and apply new technologies in a short time
  • Self-motivated, proactive, and solution-oriented
  • Description

    With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. As a Data Science Engineer on the SDS team, you will work closely with Data Scientists and other Data Science Engineers to lead the design and implementation of systems and tools to support the fraud prevention efforts of SDS. You will be: • Developing and implementing production software for preventing fraud • Responsible for system architecture design• Working with external infrastructure teams to drive the development of infrastructure needs• Innovating by recognizing opportunities for automation and tools improvements • Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics • Responsible for technical leadership for a team of data scientists• Lead the team to increase the level of maturity and skill in analytical software development • Responsible for release engineering

    Education & Experience

    • Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; orPh.D. in Math, Engineering, Economics, or hard science with data science fellowship; or• M.S. in related field with 3+ years experience applying data science to real business problems

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