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# Lead Data Scientist

- **Company:** Sagility LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $141,107.0 - $147,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, Data Visualization, Relational Databases, Fraud Prevention and Detection, Healthcare Effectiveness Data and Information Set, Python (Programming Language), Machine Learning, Power BI, SAS (Software), Tableau (Software), Build Management, Data Analytics, Web Api, Oracledb
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=122a685651a1eb55

## About the Role

REQTS: Must have a Bachelor's degree or foreign equivalent in Engineering (Any), Data Analytics, or a related field plus five (5) years of experience in the position offered, as a Data Analyst, or a related position. Must have three (3) years of experience with all of the following: Functional domain experience in healthcare; Forming data-driven insights, designing and building analytical solutions, and validating model performance; Developing Machine Learning/AI models, statistical analysis, and data explorative techniques using Python, SAS, PowerBI, Oracle DB, and Excel; Bridging analytical insights to visualizations using dashboards, PowerBI, or Tableau; Structuring and building data-centric solutions; Building predictive models that improve savings and operational efficiency in Payment integrity (pre- and post-payment cycles); Researching and developing machine learning models to identify social determinants for population health management; Determining population health performance
by coding and computing HEDIS measures (NCQA), while translating requirements and data-driven insights for annual NCQA certification; and Performing total cost of care assessments for aging populations and determining individuals at high risk for long term care utilization., REQTS: Must have a Bachelor's degree or foreign equivalent in Engineering (Any), Data Analytics, or a related field plus five (5) years of experience in the position offered, as a Data Analyst, or a related position. Must have three (3) years of experience with all of the following: Functional domain experience in healthcare; Forming data-driven insights, designing and building analytical solutions, and validating model performance; Developing Machine Learning/AI models, statistical analysis, and data explorative techniques using Python, SAS, PowerBI, Oracle DB, and Excel; Bridging analytical insights to visualizations using dashboards, PowerBI, or Tableau; Structuring and building data-centric solutions; Building predictive models that improve savings and operational efficiency in Payment integrity (pre- and post-payment cycles); Researching and developing machine learning models to identify social determinants for population health management; Determining population
health performance by coding and computing HEDIS measures (NCQA), while translating requirements and data-driven insights for annual NCQA certification; and Performing total cost of care assessments for aging populations and determining individuals at high risk for long term care utilization.

## Description

DUTIES: Collaborate with business stakeholders to understand and analyze business requirements to develop solutions that will assist management with decision-making. Gather and analyze data from various disparate sources, which may include RDBMS, Web APIs or any other customized system. Organize large datasets to extract actionable insights and innovative ways to integrate datasets. Perform exploratory data analysis to analyze datasets and make broad conclusions based on initial evaluations. Evaluate various options in terms of appropriate modelling technique/algorithm and apply the best fit for the overall business and technical environment. Apply predictive modeling and machine learning to improve customer experiences, revenue generation, fraud detection, and cost saving, as well as other business benefits. Design and build meaningful data visualizations that explain model outcomes and link the findings with insights to describe business impact in an effective manner. EOE, TRAVEL REQT: 10% domestic and international travel is required to various and unanticipated company and client sites.