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À propos
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 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)
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
Compétences linguistiques
- English
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