GuideWell Source

Lead Data Science Specialist, Remote

GuideWell Source

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $82,400 - $133,900 per year

Job Level

Senior

Tech Stack

PythonSQL

About the role

  • Writes advanced programs for data extraction using SQL; joins multiple tables together, uses complex subqueries and aggregates data to eliminate the need for manual manipulation.
  • Reverse-engineers existing programs in order to understand and document the rules behind data extraction.
  • Makes use of advanced R, Python or related programming skills to manipulate and analyze very large datasets, prototype complex operational reports, run simulations and/or statistical analysis, and turn Big Data into business-consumable metrics.
  • Proactively seeks training and builds knowledge/experience of tools, languages and data sources.
  • Analyzes data and applies advanced statistical tools and techniques to derive insights and identify areas of opportunity.
  • Produces advanced spreadsheets, documents and presentations that are easy to follow (e.g. Excel and PowerPoint).
  • Initiates and participates in the peer reviewing of work to ensure the quality of deliverables; leads peer review sessions for major deliverables.
  • Serves as a resource and subject matter expert for one or more data sources within the Health Business; can provide advice and guidance on the proper use of data.
  • Provides guidance and mentorship to other team members.
  • Assists in the analysis, mapping and documentation of processes and programs in achieving stated goals. Provides recommendations if corrections are needed.
  • Engages in long-term mentorship and development of other team members as required.
  • Communicates effectively with internal customers and business partners; able to present and communicate analysis results to the business.

Requirements

  • 4+ years of related work experience in data science or a related field
  • Bachelor's degree in Business Analytics, Health Economics, Statistics, Engineering, Mathematics, Computer Science, Data Science, or a related field (Master's degree preferred)
  • Strong analytical and critical thinking skills, with experience working with statistical methods and tools
  • Proficiency in SQL, SAS, R, Python, or related programming languages
  • Excellent written and oral communication skills, with experience presenting complex data insights to non-technical stakeholders