Data Scientist Senior

Elevance HealthIndianapolis, IN
Hybrid

About The Position

The Data Scientist Senior is responsible for designing and leading predictive modeling projects to solve more complex business problems developed by consultation with business partners. This role requires associates to be in-office 1 - 2 days 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. Candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

Requirements

  • Bachelor’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Data Science, Biostatistics, or related field of study.
  • Five (5) years of experience in related occupation(s).
  • Three (3) years of experience with Python, R, SAS, or SAS Enterprise Miner;
  • Two (2) years of experience using Git, Confluence, and Bitbucket as a version control repository;
  • One (1) year of development experience with at least one of the following visualization tools: PowerBI, MicroStrategy or Tableau;
  • One (1) year of experience collaborating with business partners to determine identified population segments and developing actionable plans to enable the identification of patterns related to quality, use, cost and other variables;
  • One (1) year of experience with software development best practices, planning, code version management, documentation, knowledge sharing, and continuous improvement.
  • Foreign national applicants meet the residency requirement of living in the United States at least three of the past five years.

Responsibilities

  • Perform substantive statistical analyses and reporting to improve company competitiveness, market share, operations, and profitability.
  • Develop and implement prediction models for member and provider-based interventions.
  • Conduct competitive analysis of risk stratification models and makes recommendations to management.
  • Design and execute care management program evaluations, including development of evaluation methodologies for measuring the effectiveness of clinical programs.
  • Provide technical/analytical advice to staff.
  • Respond to and manage ad hoc client requests to ensure accurate, in-depth results/data are delivered in a timely manner.
  • Prepare results for presentation to internal/external clients.
  • Present research findings to management and clients.
  • Compile results of studies for journal publication.
  • Research and analyze broadly defined business scenarios, trends, and patterns and develop recommendations for management.
  • Piping and processing massive data-streams in distributed computing environments such as Denodo to facilitate analysis.
  • Recommend appropriate batch and real-time model scoring to drive actions.
  • Provide oversight in development of proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
  • Develop advanced visualization of analysis output for business users.

Benefits

  • merit increases
  • paid holidays
  • Paid Time Off
  • incentive bonus programs
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • 401(k) +match
  • stock purchase plan
  • life insurance
  • wellness programs
  • financial education resources
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