Senior Data Scientist

Sagility LLC

Georgia

Hybrid

USD 92,901 - 95,000

Full time

14 days+

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Job summary

Sagility LLC is seeking a Senior Data Scientist in Atlanta, GA, with nationwide opportunities and relocation support. The role involves building ML/NLP models for healthcare analytics and delivering cross-client AI solutions.

The ideal candidate has 5+ years of experience in statistical modeling, ML, NLP, and healthcare data, with proficiency in Python, R, SQL, SAS, Power BI, and Excel. Relocation assistance is available as required.

Qualifications

  • Bachelor’s degree or foreign equivalent in Engineering, Data Analytics, or related field.
  • Five years of experience with statistical and predictive modeling techniques including ML and NLP.
  • Three years of healthcare data modeling experience in insurance and providers.
  • Proficiency in Python, R, SQL and SAS to extract and transform data.

Responsibilities

  • Formulate mathematical modeling and optimizing methods to aid clients’ decision-making.
  • Evaluate program tracks using propensity matching and analyze baseline vs. study data.
  • Implement ML and NLP models for healthcare analytics.
  • Apply techniques to analyze fraud, waste, and abuse in datasets.
  • Build predictive models to improve savings and operational efficiency.
  • Design cross-client ML/AI solutions to detect provider misbehavior and risk.

Skills

Statistical modeling
Machine learning
Natural language processing
Data analysis
Propensity score matching

Education

Bachelor’s degree in Engineering or Data Analytics

Tools

Python
R
SQL
SAS
Power BI
Excel

Job description

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.

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.
Qualifications
  • 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.
Compensation & Hours

Salary: $92,901.04 - $95,000.00 per year. Hours: 40 hours per week, Monday-Friday.

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