Advisor Data Sciences

Summary

As a(n) Advisor Data Sciences at Gainwell, you can contribute your skills as we harness the power of technologie to help improve the health and well-being of the mebers they serve - a communitys most vulnerable. Connect your passion with porpuse, teaming with people who thrive on finding innoviate solutions to some of healthcares biggest challenges. Here are the details on this position.

Your role in our mission

• Designs, develops, programs methods, processes and systems to consolidate and analyze unstructured, diverse big data sources using machine learning and predictive modeling tools.
• Builds analytic models to identify and quantify solutions to business problems. Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers. Determines probable future outcomes and recommends and delivers new business process improvements.
• Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Determines the right modeling methodology to the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights
• Champions global intitiatives in data sciences- like building new centers of excellence ( by domain or technology); acts as leading subject matter expert providing guidance and long term vision
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems

What we're looking for

• 8+ years of relevant experience in the area of statistics/analytics/machine learning
• Extensive knowledge of data science methodologies including but not limited to classical regression, neural nets, sequence analysis, cluster analysis, and text mining
• Experience with multi-dimensional and/or relational databases such as NoSQL, OLAP, and others
• Experience in manipulating high-volume, high-dimensionality data form varied sources using big data integration and analysis tools such as R, Matlab, SAS
• Experience with data cleansing, validation and general quality control principal

What you should expect in this role

• Fully Remote Opportunity – Work from anywhere in the U.S.
• Minimal Travel Required – Occasional travel opportunities (0-10%).
• Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
• 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 November 1, 2026.