Machine Learning Healthcare Data Scientist

Description

AVER is seeking a Machine Learning Healthcare 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. **Must be eligible to work without sponsorship** **MUST be local, within commutable distance to Hanover, MD- On Site 1 day a week**

Responsibilities Include: • 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 • Possess exceptional business acumen and outstanding communication to present findings and visualizations to executives and technical/ non-technical stakeholders

Education Requirements: • Bachelor's degree required (data science, statistics, public health, healthcare analytics, or related field).

Experience 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 • Experience 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

Desired Requirements: • 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

Location: • Hanover, MD- HYBRID (1 day a week in office, required)