Gainwell Technologies
Gainwell Technologies
Gainwell Technologies develops digital and cloud-enabled solutions for the human services and public health ecosystem. The company works with clients across all 50 U.S. states on healthcare initiatives including Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions. Its work connects technology with public health delivery, healthcare administration, and efforts to improve health outcomes and community well-being.

Senior Data Sciences Advisor

Lead data science strategy by developing machine learning models, predictive analytics, and big-data solutions for Gainwell Technologies’ healthcare technology services.

Description

  • Create methods, processes, and systems for consolidating and analyzing diverse, unstructured big-data sources
  • Apply machine learning and predictive modeling techniques to complex business challenges
  • Develop analytical models that identify and measure effective business solutions
  • Translate analytical and experimental findings for clients, service leaders, and business managers
  • Forecast likely outcomes and deliver improvements to business processes
  • Guide less experienced staff developing software, algorithms, and automated workflows
  • Clean, integrate, and assess large datasets collected from disparate sources
  • Choose modeling approaches according to the use case, data characteristics, cost, and timeline
  • Advance global data science programs and establish centers of excellence
  • Serve as a senior subject matter expert, shaping technical guidance and long-term direction
  • Shape client strategy through industry knowledge and innovative analytics solutions embedded in operational systems

Requirements

  • At least eight years of relevant experience in statistics, analytics, or machine learning
  • Deep knowledge of data science methods, including classical regression, neural networks, sequence analysis, cluster analysis, and text mining
  • Experience working with multidimensional or relational databases, including NoSQL and OLAP systems
  • Background handling high-volume, high-dimensional data from varied sources
  • Experience using big-data integration and analysis tools such as R, MATLAB, and SAS
  • Knowledge of data cleansing, validation, and general quality-control practices
  • Video cameras are required for all interviews and the first week of orientation

Benefits

  • Flexible work arrangements
  • Opportunities for learning and career growth
  • Access to technical credentials and certifications
  • Generous flexible vacation policy
  • Educational assistance
  • Leadership and technical development academies
  • Occasional opportunities to travel
  • Work with advanced AI solutions in a mission-driven healthcare technology environment
  • 401(k) employer matching
  • Comprehensive health coverage
  • Equal opportunity employment

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