Medica-posted 3 months ago
$70,700 - $121,200/Yr
Full-time • Mid Level
Minnetonka, MN
Professional, Scientific, and Technical Services

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration — because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued. As a Data Scientist II at Medica, you will lead initiatives in predictive modeling, member segmentation, identification and stratification (ID/Strat), and program evaluation to support population health strategies and enterprise-level decision-making. You will also work with Git repositories and collaborate across teams to drive data governance and process improvements.

  • Design and implement machine learning models for real-time forecasting of healthcare utilization and cost trends.
  • Research and apply prescriptive solutions using data science and statistical methods to enhance modeling outcomes.
  • Develop and validate predictive models using ensemble methods and deep learning techniques.
  • Collaborate with internal stakeholders to develop data governance strategies and build robust data science pipelines.
  • Collaborate with actuarial, finance, and enterprise analytics teams to embed predictive outputs into planning and decision-making processes.
  • Support infrastructure design in collaboration with IT (e.g., Snowflake, Azure) to ensure scalable, secure, and governed model deployment.
  • Bachelor's degree or equivalent experience in related field
  • 3+ years of work experience beyond degree in advanced analytics, statistics, or data science, preferably within healthcare.
  • Masters in a quantitative discipline.
  • Demonstrated experience in healthcare-related projects.
  • Advanced modeling techniques (e.g., ensemble methods, deep learning).
  • Expertise in SQL, Python, R, SAS.
  • Familiarity with code source control (Git, GitLab, GitHub).
  • Experience with cloud platforms and data science IDEs (e.g., Jupyter Lab, Anaconda, Spyder).
  • Strong data engineering and pipeline development skills.
  • Competitive medical, dental, vision insurance
  • Paid time off (PTO)
  • Paid holidays
  • Paid volunteer time off
  • 401K contributions
  • Caregiver services
  • Generous total rewards package
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service