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Data Science ^

Data Analytics | Mountain View, CA | Full Time, Contract, and Temporary

Job Description

Data Science 6297 ^

Responsibilities:

  • Extract and analyze data to derive actionable insights
  • Formulate success metrics for completely novel products, socializing them and creating dashboards/reports to monitor them
  • Design and analyze experiments to test new product ideas and convert the results into actionable marketing & product recommendations
  • As an end consumer of the data, determine the tracking necessary to enable analytics of our products and features by working closely with product and engineering partners
  • Enable others in the organization to utilize your work by onboarding new metrics into our self-serve data system and the experimentation platform

Basic Qualifications:

  • BS/MS degree in a quantitative discipline: statistics, applied mathematics, operations research, computer science, engineering, economics, etc.
  • 2+ years of work experience providing analytical insights and business reports to product or business functions
  • Proficiency in SQL and in a Unix/Linux environment
  • 2+ years of experience with Tableau, QlikView, Microstrategy or other data visualization and BI dashboarding tools
  • 1+ years of experience programming in Java or Python and working with large datasets

Preferred Qualifications:

  • Ph.D. in a quantitative discipline: statistics, applied mathematics, operations research, computer science, engineering, economics, etc.
  • Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Sawzall, etc.
  • Experience presenting insights to executive staff on a regular basis
  • Expertise in applied statistics and in at least one statistical software package, preferably R
  • Ability to communicate findings clearly to both technical and non-technical audiences
  • Ability to translate business objectives into actionable analyses
  • Advanced skills in Java/C++

$85-$100 per Hour         Mountain View, CA 94043         6 Month Assignment