Machine Learning Data Scientist (Healthcare)

TL;DR

Machine Learning Data Scientist (Healthcare): Developing ML models for behavioral health analytics with an accent on predictive modeling, NLP, and population health analytics. Focus on building risk classifiers, wellness monitoring tools, and translating healthcare data into actionable quality improvement strategies.

Location: Hybrid in Hanover, MD

Company

hirify.global is a Data & Digital Transformation company specializing in Homeland Security, Biometrics, Law Enforcement, and Healthcare domains to ensure Government mission success.

What you will do

• Create ML models using Python/R to support behavioral health data analytics.
• Apply clustering, regression, and NLP to build informative predictive models and risk classifiers.
• Collaborate with public health teams and clinicians to translate data into strategies for quality improvement.
• Perform data validation and audits to ensure regulatory compliance and reporting accuracy.
• Contribute to AI/ML-enabled digital health solutions, including mental health risk and wellness monitoring tools.
• Present technical findings and data visualizations to both technical and non-technical stakeholders.

Requirements

• Bachelor’s degree in Data Science, Statistics, Public Health, Healthcare Analytics, or a related field.
• 1-3+ years of experience in statistical and predictive analytics using Python or R.
• Experience developing ML models for healthcare quality and population health analytics.
• Proficiency with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Experience working with large, structured healthcare datasets (claims, encounter, EHR).
• Location: Must be based in or able to work hybrid in Hanover, MD

Nice to have

• Ability to analyze healthcare quality metrics (HEDIS, CMS, NCQA).
• Experience with SQL querying and relational database analysis.
• Proficiency in data visualization tools such as Power BI or Tableau.
• Knowledge of healthcare interoperability and coding standards (ICD-10, CPT, SNOMED).
• Exposure to cloud analytics platforms (AWS, Azure, or GCP).

Culture & Benefits

• Collaborative team environment that values client service and transformative technology.
• Opportunity to work for a fast-growing Service-Disabled Veteran-Owned Small Business (SDVOSB).
• Engagement in high-impact public health initiatives.
• Culture of delivering exceptional results for government missions.