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The Data Scientist will support the agency’s mission to provide high-quality healthcare for beneficiaries and their families. The ideal candidate will work across different project workstreams to help identify vulnerabilities and provide analytic support to investigate special topics like the continuity of care as active-duty personnel transition to veteran status and VHA services. A successful data scientist will be able to think creatively about the data sources and analytic/coding techniques needed to solve problems, connect policy to the analysis process and interpretation. The data scientist must build algorithms that align with existing priorities and will encompass various algorithm types (such as rules-based and machine learning). Experience with AL/ML and delivering analytic dashboard products is required.
Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Responsibilities (including but not limited to):
- Demonstrate experience working with military or veteran healthcare systems (e.g., DHA, VA), with a deep understanding of healthcare data, regulatory compliance, and mission-driven care delivery.
- Conduct ETL, exploratory data analysis (EDA), data wrangling to develop and present innovative ML algorithms to enhance healthcare system and collaboration.
- Apply ML techniques and time series for predictive analytics to support faster and more accurate healthcare outcomes.
- Design, develop, deploy NLP and AI/ML models incorporating unit testing, performance validation, and post-deployment monitoring to ensure reliability and scalability.
- Develop interactive, user-friendly dashboards and visualizations in Python, Power BI, and/or Tableau to support real-time healthcare analytics and decision-making.
- Work with clinical and operational stakeholders to gather requirements and translate them into meaningful, data-driven visual solutions.
- Enhance user engagement with dynamic, drill-through capabilities and actionable insights embedded with dashboards.
- Execute thorough quality control procedures to ensure high reliability, data integrity, and optimized performance of ML algorithms and dashboard solutions.
- Produce clear and comprehensive documentation, including business requirements, technical specifications, and user training materials tailored to AI/ML and dashboard solutions.
- Develop presentation materials (e.g., PowerPoint summaries, technical briefs) to support algorithm approval processes and facilitate stakeholder communication.
- Maintain versioned documentation to support compliance, reproducibility, and knowledge transfer across teams.
- Bachelor’s or Master’s degree in data science, data analytics, statistics, computer science, health policy, public health, or related field.
- 5+ years of experience in data science, analytics, or statistics with a strong understanding of statistical, probability, and machine learning theory.
- 5+ years of experience developing and deploying end-to-end ML solutions, including statistical analysis, forecasting, and predictive modeling.
- 5+ years of hands-on experience in ML development, using advanced algorithms such as Random Forest, Gradient Boosting (e.g., XGBoost, LightGBM), SVM, CNNs, RNN, LSTM, GANs, GNNs, and clustering techniques (e.g., K-means, DBSCAN), including autoencoders.
- 3+ years of experience designing, developing, and maintaining ETL processes across diverse data systems.
- 3+ years of experience in cloud environments (AWS, Azure, or GCP), including deployment, data integration, and scalable infrastructure design.
- 2+ years of experience with healthcare analytics.
- Programming: Python, R, SQL, SAS.
- Dashboard development: Tableau, Power BI, Python, and/or R.
- Version control: Git (Github, GitLab, Bitbucket).
- Experience with AL/ML.
- Proven ability to communicate complex findings to both technical and non-technical audiences.
- Strong problem-solving skills with the ability to identify and solve complex business problems using data.
- Experience working on cross-functional teams with data engineers, data scientists, business analysts, project managers, and stakeholders.
- Excellent written and verbal communication skills.
- Ability to collaborate effectively with team members, fostering open communication and problem solving to achieve shared project goals.
- Ability to manage multiple tasks within tight deadlines.
- Self-motivated and excels in a fast-paced environment.
- Must possess or be eligible for a Secret clearance.
- PhD in data science, data analytics, statistics, computer science, health policy, or public health.
- Familiarity with MDR & M2 databases.
- Experience with NLP techniques.
- Proven ability to synthesize disparate data from multiple sources into accurate and useful analytic products.
- Experience with the Department of Defense or a federal healthcare entity.
- Experience in the private healthcare sector.
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