Senior Data Scientist

Senior Data Scientist

Employer:

Sagility LLC. The role is based in Atlanta, GA, with the possibility of working nationwide and relocation support as required.

Location:

Nationwide – with potential relocation to various client site locations within the United States.

• 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.

• 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.
• Five (5) years of experience with 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.
• Three (3) years of experience with 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.
• Equal Opportunity Employer. All qualified applicants are considered for employment.

Salary: $92,901.04 - $95,000.00 per year.

Hours:

40 hours per week, Monday-Friday.