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Data Scientist

Company Name: Intuit
Location: San Diego, California
Date Posted: 15th Jun, 2017
  • Having a wide-latitude in determining objectives and approaches to solution development on mission critical assignments
  • Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions
  • Be part of a dynamic and cohesive team of highly trained and successful researchers
  • Independence in the shaping and development of projects
  • Ability to quickly understand patterns within large quantity of data and to reference key characteristics using visualization techniques
  • Demonstrating strong programming skills in large-scale data analysis using Python, Java, R or related software
  • Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities related to next generation Cloud technologies


  • MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  • Solid knowledge of statistical techniques is required
  • Hands-on programming experience with one or more of the following Python, Java, R, or related languages
  • 1-3+ years’ experience manipulating large datasets and using databases (e.g. SAS, R, SQL, S-Plus, etc.)
  • 1-3+ years’ experience with a general-purpose programming language (e.g. C, Java, Python, etc.)
  • Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.)
  • Demonstrable ability to quickly understand new concepts---all the way down to the theorems—and to come out with original solutions to mathematical issues

Strongly Preferred Qualifications

  • PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
  • Proven experience with Machine Learning techniques, especially on large scale datasets
  • Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter
  • Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel