Data Scientist

Analytica is seeking a Data Scientist to support a mission critical endeavor. The ideal candidate will be comfortable working directly with clients in consulting and delivery capacity to provide solutions that tackle complex problems. Analytica is looking for bright, motivated professionals who want to continue their careers in the data analytics field. 

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 delivering analytic dashboard products is required, and experience with AI/ML or LLM methods is desired.
 
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 include (but are 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 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 within 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.

Basic Qualifications:

• Bachelor’s or master’s degree in data science, data analytics, statistics, computer science, health policy, or public health.
• Must be able to maintain a Secret security clearance.
• 3+ years of experience in Python, R, and/or SQL for programming, ETL, and data analysis.
• Strong knowledge of statistical programming concepts and best practices.
• Experience with machine learning development, including creating training/testing sets, validation sets, target definition, and algorithm evaluation criteria.
• Hands-on experience building ML algorithms such as regularized regression, random forest, XGBoost, and neural networks.
• Demonstrated experience with SQL development, including writing queries, procedures, and performing query optimization.
• Proven ability to investigate, report, and justify algorithm results, and present insights in the context of organizational business challenges.
• Excellent written and verbal communication skills; able to convey technical concepts to a wide range of audiences and maintain effective interpersonal relationships.
• Ability to manage multiple tasks within time constraints and meet critical deadlines.
• Ability to work effectively in a hybrid work environment.

Key Technical Skills

• Proficient in Python, R, SQL for ETL, data analysis and ML development.
• Skilled in data visualization and business intelligence tools (e.g., Power BI, Tableau).
• Experienced with git version control systems (e.g., Github and Gitlab).
• Familiar with cloud platforms such as AWS and/or Microsoft Azure for scalable ML solutions.

Preferred Qualifications:

• Familiar with large language models (LLMs), chatbots, and recommendation systems to improve decision-making.

• Provide mentorship and technical support to junior data scientists and analysts, fostering a collaborative and innovative team culture.
• Share best practices and promote continuous learning in AI/ML methodologies and tools aligned with business goals.
• Implement automated testing frameworks and monitoring tools to maintain consistent deployment quality across data applications.
• Experience with the Department of Defense or a Federal health care entity.
• Experience in a private sector of health care.
• Experience with building and maintaining client relationships.
  

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.