Machine Learning- Data Scientist

AVER

1d • Hybrid

About The Position

AVER is a fast-growing SDVOSB that has achieved significant revenue growth over the past 5 plus years with much of our work focused on Data Analytics, Mission Support, IT Modernization and Biometrics. AVER is seeking a Machine Learning- Data Scientist with healthcare experience to support public health initiatives with the State of Maryland. Join a collaborative team who values AVER’s mission, focus, and culture of delivering exceptional client service with great people and transformative technology solutions that ensure Government mission success.

Requirements

• 1-3+ years of experience with statistical analysis and predictive analytics using Python or R
• Experience with Machine Learning model development for healthcare quality and population health analytics
• Experience with predictive modeling techniques including classification, regression, risk scoring, and stratification
• Experience with ML libraries/frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar
• Experience working with large, structured healthcare datasets
• Expreince with healthcare data analysis: claims, encounter, EHR, member and provider datasets
• Ability to analyze healthcare quality metrics (HEDIS, CMS, NCQA, preferred)
• Knowledge of population health analytics and member risk segmentation

Nice To Haves

• Experience with data preprocessing, feature engineering, and model validation, preferred
• Experience with SQL querying and relational database analysis, preferred
• Experience with data visualization and reporting using Power BI, Tableau, or similar BI tools, highly preferred
• Knowledge of healthcare interoperability and coding standards (ICD-10, CPT, HCPCS, SNOMED, LOINC)
• Understanding of healthcare utilization, care management, and quality improvement initiatives
• Familiarity with CMS, NCQA, and HEDIS reporting methodologies
• Model performance evaluation using precision/recall, ROC-AUC, confusion matrices, and cross-validation
• Experience developing dashboards, KPIs, and analytical reporting for healthcare stakeholders
• Exposure to cloud analytics (AWS, Azure, or GCP) preferred

Responsibilities

• Create Machine Learning models in support of a behavioral health data analytics team
• Leverage Python/R for data analysis
• Apply clustering, regression, NLP, predictive modeling to create informative Machine Learning models
• Collaborate cross-functionally with public health teams, clinicians, and leadership to translate data into actionable strategies for quality improvement
• Conduct audits, data validation, and performance analyses to ensure data quality, regulatory compliance, and accurate reporting
• Contribute to AI/ML-enabled digital health solutions, including mental health risk classifiers and wellness monitoring tools
• Present findings and visualizations to both technical and non-technical stakeholders

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level