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.

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
Present findings and visualizations to both technical and 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
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

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

About Us:

AVER, LLC is a Data & Digital Transformation company that delivers exceptional client service with great people and transformative technology solutions to enable Government mission success. We provide customers with specialized technical skills and deep subject matter expertise focused on Homeland Security, Biometrics, Law Enforcement and Healthcare domains to meet the complex mission challenges today and tomorrow. We are a verified Service-Disabled Veteran-Owned Small Business (SDVOSB) that strives to provide a customer-centric experience building trusted partnerships with our clients and people.

AVER is an Equal Opportunity Employer/Veterans/Disabled

AVER, LLC

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Machine Learning- Data Scientist