Summary

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.

Your role in our mission

• Work closely with engineers to deploy models to production both in batch and real-time while systematically tracking model performance.
• Build complex data sets from multiple data sources and write complex data flows using Databricks, SQL, Spark, and scripting languages (e.g., Python, R).
• Use data visualization tools (e.g., Tableau, PowerBI) to share ongoing insights.
• Present findings to both technical and non-technical audiences.
• Function as a subject matter expert on machine learning and predictive modeling
• Assist engagements with key business stakeholders in a discussion on business opportunities.
• Be an evangelist driving wider adoption of analytics across the enterprise.
• Generate performance metrics such as accuracy, sensitivity, specificity, positive predictive value, ROG, AUG, calibration, SHAP (Shapley Additive explanations).
• Lead large data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.
• Design, develop, test, validate, and deploy Machine Learning (ML) /Statistical models to not only learn from our vast amounts of data but to build new products.

What we're looking for

• Demonstrated knowledge of drug data file elements published by drug compendia/databases. Examples are, but not limited to ICD, Medi-span, First Data Bank (FDB).
• Familiarity with Pharmacy and non-Pharmacy Medicaid claims processing data inclusive of the Financial and Institutional data elements.
• Previous work experience with analyzing, monitoring healthcare plan data focusing on medical claim, data mining, and financial processing member eligibility processing, provider networks and Managed Care Organization (MCO) contract details, audit, and reporting in compliance with Federal and State requirements.
• Ability to create meaningful data presentations along with reports, including but not limited to hot-spotting, graphics, and other intuitive depictions of the data using Tableau.
• Proficient in SQL, data models, data element dictionary and schema, with the ability perform data business analysis.

What you should expect in this role

• United States remote opportunity
• Candidate selected must work EST time zone
• Video cameras must be used during all interviews, as well as during the initial week of orientation
• The Deadline to submit applications for this posting is September 16, 2024

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