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Data Scientist

Data Analytics | New York, NY | Full Time, Contract, and Temporary

Job Description

Data Scientist 9897 

A leading professional networking and development company is seeking a Data Scientist. The successful candidate will extract and analyze the company's data to derive actionable insights. The ideal candidate has work experience providing analytical insights and business reports to product or business functions. The company offers a great work environment!

Data Scientist Pay and Benefits:

  • Hourly pay: $65-$75/hr
  • Worksite: Leading professional networking and development company (New York, NY 10118, Open to remote - Must work EST hours)
  • W2 Employment, Group Medical, Dental, Vision, 401k
  • 40 hours/week, 6 Month Assignment

Data Scientist Responsibilities:  

  • Extract and analyze the company's data to derive actionable insights.
  • Formulate success metrics for completely novel products, socialize them and create 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 the experimentation platform.
  • Develop models and data-driven solutions that add material lift to principal performance metrics. 

Data Scientist Qualifications: 

  • 2+ years of work experience providing analytical insights and business reports to product or business functions.
  • 2+ years of experience developing applications, software, and web analytics.
  • 2+ years of experience with Tableau, QlikView, Microstrategy, or other data visualization and BI dashboarding tools.
  • 1+ years of experience programming in R or Python and working with large datasets.
  • BS/MS degree in a quantitative discipline: statistics, applied mathematics, operations research, computer science, engineering, economics, etc.
  • Ph.D. in a quantitative discipline statistics, applied mathematics, operations research, computer science, engineering, economics, etc. is preferred.
  • Proficiency in SQL and in a Unix/Linux environment for automating processes with shell scripting.
  • Experience in social media and content creation is a plus.
  • Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Sawzall, etc. (preferred)
  • Experience presenting insights to executive staff on a regular basis. (preferred)
  • Ability to communicate findings clearly to both technical and non-technical audiences. (preferred)
  • Ability to translate business objectives into actionable analyses. (preferred)