Note: The job is a remote job and is open to candidates in USA. Sagility is a company that combines industry-leading technology and transformation-driven BPM services with healthcare domain expertise. They are seeking a Senior Data Scientist to formulate and apply mathematical modeling, implement statistical and machine learning models, and analyze data to assist clients in strategic decision-making.
Responsibilities
- Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists clients’ management with strategic decision-making
- Evaluate population health management program tracks performance using propensity matching, and analyze baseline and study period of members in test and control groups for clients utilizing Python, SAS, Power BI, and Excel
- Implement complex statistical, machine learning, and NLP (natural language processing) models
- Apply techniques for analyzing fraud, waste, and abuse case studies to draw relevant insights for the end users
- Analyze “lift” in the company’s care management programs, medication adherence, and clinical visit, using a propensity-based methodology to ascertain the impact of operations on critical measures that indicate program benefits
- Produce a probabilistic model using business understanding in Home Health and LTC
- Build predictive models that improve savings and operational efficiency for both pre and post-payment cycles across various payment types
- Design and deliver ML/AI solutions to work on cross-client platforms to identify inappropriate provider behavior and stratify social risk
Skills
- 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 five (5) years of experience with all of the following: Statistical and predictive modeling techniques including machine learning and natural language processing; Data mining and conducting statistical studies and evaluating various program performances; and Programming applications using Python, R, SQL, and SAS to extract and transform data from multiple data sources
- Must include three (3) years of experience with all of the following: Data modeling for the healthcare field, including both insurance and providers; and Healthcare insurance, healthcare economics, managing care plans, billing requirements, subscriber and provider responsibilities, utilization management, risk identification and adjustment, and long-term care
Company Overview