CareBridge-posted 3 months ago
Full-time • Senior
Ashburn, VA
251-500 employees
Ambulatory Health Care Services

The Data Scientist Senior designs machine learning projects to address specific business problems determined by consultation with business partners. This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace.

  • Work with data-sets of varying degrees of size and complexity including both structured and unstructured data.
  • Pipe and process massive data-streams in distributed computing environments such as Hadoop to facilitate analysis.
  • Implement batch and real-time model scoring to drive actions.
  • Develop proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
  • Develop sophisticated visualization of analysis output for business users.
  • Publish results and address constraints/limitations with business partners.
  • Provide high-level controllership/evaluation of all output produced to ensure established targets are met.
  • Determine the continuous improvement opportunities of current predictive modeling algorithms.
  • Proactively collaborate with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.
  • Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems, or a related field.
  • Five (5) years of experience in related occupation(s) with Data science, analytics, and/or software development.
  • Five (5) years of experience in related occupation(s) with Data science, analytics, and/or software development must include: One (1) year of experience in the following: Python, R, SAS and programming; Working in a distributed computing environment; Hive, Impala or Apache Spark; Data extraction and manipulation using SQL; Connecting Tableau or Shiny reports to Hadoop back end; and JavaScript visualization libraries including D3.js.
  • Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems, or a related field, and three (3) years of experience.
  • Merit increases
  • Paid holidays
  • Paid Time Off
  • Incentive bonus programs
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Short and long term disability benefits
  • 401(k) + match
  • Stock purchase plan
  • Life insurance
  • Wellness programs
  • Financial education resources
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