Senior Data Scientist

Summary

Join Analytica as a Senior Data Scientist to contribute to a mission-critical endeavor supporting high-quality healthcare for beneficiaries and their families. You will work across project workstreams, identifying vulnerabilities and providing analytic support for special topics like continuity of care for transitioning military personnel. This role requires creative problem-solving using various data sources and analytic techniques, connecting policy to analysis and interpretation. You will build algorithms (rules-based and machine learning), develop analytic dashboards, and work with stakeholders to translate requirements into data-driven solutions. Analytica offers competitive compensation, bonuses, employer-paid healthcare, training funds, and a 401k match. The ideal candidate will have experience with military or veteran healthcare systems and a strong background in data science and machine learning.

Requirements

• 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)
• 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
• Proven ability to serve as a technical lead and mentor junior data scientists
• Excellent written and verbal communication skills
• 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

Responsibilities

• 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

Preferred Qualifications

• PhD in data science, data analytics, statistics, computer science, health policy, or public health
• Familiarity with MDR & M2 databases
• 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

Benefits

• Employer paid health care
• Training and development funds
• 401k match
• Opportunities for bonuses