Data Scientist

Summary

Join Analytica as a Data Scientist to contribute to a mission-critical endeavor, working directly with clients to deliver solutions for complex problems. You will support the agency's mission of providing high-quality healthcare by working across project workstreams to identify vulnerabilities and provide analytic support. The role involves developing innovative ML algorithms, designing dashboards, and working with stakeholders to translate requirements into data-driven solutions. You will need to build algorithms aligning with existing priorities, encompassing various algorithm types. Analytica offers competitive compensation, including bonuses, employer-paid healthcare, training funds, and a 401k match.

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