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Senior Data Scientist – Consumer Analytics – Content Creation Products (SF)

Company Name: LinkedIn
Location: San Francisco, CA
Date Posted: 27th Feb, 2017
Description:

 

Responsibilities:

  • Extract and analyze LinkedIn 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 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 experimentation platform
  • Develop models and data-driven solutions that add material lift to principal performance metrics
  • Provide technical guidance to more junior team members
  • Exploratory data analysis with the goal of product ideation, prototyping, and developing new and innovative features that can drive additional value for/engagement from our members
  • Communicate the results of your work, to evangelize data-driven product innovation

 

 

Qualification:

Basic Qualifications:

  • BS/MS degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
  • 3+ years’ industry experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical packages
  • 3+ years’ industry experience providing analytical insights and business reports to product or business functions

Preferred Qualifications:

  • Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Hive, etc.
  • 5+ years of experience programming in Java or Python and working with large datasets
  • Expertise in applied statistics and in at least one statistical software package, preferably R
  • Proficiency in SQL and in a Unix/Linux environment for automating processes with shell scripting
  • Advanced skills in Java/C++
  • Ability to communicate findings clearly to both technical and non-technical audiences
  • Ability to translate business objectives into actionable analyses
  • Experience presenting insights to executive staff on a regular basis
  • PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.