Principal Data Sciences

Gainwell Technologies LLC•Any city, OH

1d•$124,000 - $177,100•Remote

About The Position

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. As a(n) Principal Data Sciences at Gainwell, you can contribute your skills as we harness the power of technologies to help improve the health and well-being of the members they serve - the communities most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s 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 initiatives 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

Requirements

6+ years of relevant experience in statistics and machine learning
Extensive knowledge of data science methodologies including but not limited to supervised machine learning, unsupervised machine learning, and generative AI applications
Experience with writing SQL to query multi-dimensional and/or relational databases
Experience in developing machine learning and AI solutions using python
Experience with data cleansing, validation, and general quality control principals

Responsibilities

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 initiatives 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