Note: The job is a remote job and is open to candidates in USA. Gainwell Technologies is a healthcare technology company focused on improving health and well-being through technology-driven solutions. The Advisor Data Sciences role develops machine learning and predictive modeling methods, builds analytical models, and delivers data-driven insights and process improvements. The position also provides technical leadership, advances data science initiatives, and influences clients’ strategic decisions through innovative analytics solutions.

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 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

Skills

• 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

Benefits

• Fully Remote Opportunity – Work from anywhere in the U.S.
• Generous, flexible vacation policy
• Educational assistance
• Comprehensive leadership and technical development academies
• 401(k) employer match
• Comprehensive health benefits
• Opportunity to grow your career
• Work flexibility

Company Overview

Company H1B Sponsorship