Best Practice Partners: Data Scientist

Help fix fundamental problems in the healthcare industry, leverage proprietary health care and claims data to create huge financial and societal benefit.

Best Practice Partners Company: Best Practice Partners
Location: Pennsylvania

Our Client is the new group of a $3B+ payer in PA specializing in healthcare data analytics and preventive medicine. Due to growth, our Client is looking to build out its Product Development team and need a Data Scientist to join our team.

If you are strong with Machine Learning, Predictive Modeling, Data Analytics, and you have a background working with Algorithm Development using SAS, R, or Python, we would love to talk/meet with you. Our Client is looking to fix some fundamental problems in the healthcare industry. You will leverage our proprietary dataset and connections to a large set of claims, hospital system and consumer data to quickly create huge financial and societal benefit, while building a cutting-edge data science skillset on a world-class analytics team.

Position Description
  • Responsible for the successful delivery of the design, development and implementation of machine learning and predictive models on the cost, utilization and quality trends relative to product, program, network, benefit design, employer group, etc. and the communication of this information to key internal and external stakeholders. 40%
  • Ensures that rigorous research design, comprehensive data collection and sound statistical methods are applied to the cost and utilization forecast, population management, internal and vendor programs, and corporate projects. 20%
  • Assessment and identification of cost and utilization reduction opportunities through collaboration with leadership and advisory boards. 20%
  • Provide guidance and support for project implementations within the appropriate Client area including processes to track cost, utilization and outcomes. 10%
  • Assists in developing an annual work plan for the department which considers available resources and anticipated workload. 10%

Job Requirements

Experience mentoring junior and senior level team members on best analytic practices. Be effective at communicating complex structures. Have a high level of interpersonal skills.

  • Deep intuition for and experience with predictive modeling (statistics and/or machine learning)
  • Technical sophistication with relational and unstructured (big data) database concepts and applications, quantitative methods and related applications and decision support tools.
  • Ability to analyze problems, issues, outcomes, determine/estimate/project impact and provide or recommend business solutions.
  • Demonstrated strong oral, written and presentation skills.

  • SAS or R. Bonus experience: Javascript, Python, Ruby, Perl, Linux, Hadoop, Matlab, SQL, knowledge of No SQL databases and big data philosophies.
  • Experience in Machine Learning (strongly preferred), Predictive Modeling, Bayesian analysis, and causal inference methods
  • Bonus experience: Knowledge of managed care insurance and business processes, data, systems, and applications for claim payments, network and provider contract administration and management, population management.

  • Minimum of five years' experience in health services research, outcomes research, healthcare economics or epidemiology.
  • Experience with quality studies, population based analysis, disease management, and background in research methodologies and statistics.

Education, Certification, and Licenses:
  • The likely background for this role is a MS or PhD in a quantitative, technical discipline (mathematics, statistics, finance, economics or public health), although other backgrounds will be considered

For more information, or to schedule a confidential conversation please contact:

Mark Stevens
Best Practice Partners