Lead Data Scientist

Summary

Join Analytica as a Lead Data Scientist to contribute to a mission-critical endeavor supporting high-quality healthcare. You will work directly with clients, tackling complex problems and providing analytic solutions. The role involves working across project workstreams to identify vulnerabilities and support investigations into topics like continuity of care for transitioning military personnel. You will design and develop algorithms, build dashboards, and collaborate with stakeholders. Analytica offers competitive compensation, including bonuses, employer-paid healthcare, training funds, and a 401k match. The ideal candidate will have extensive experience in data science, machine learning, and healthcare analytics.

Requirements

• 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 machine learning (ML) solutions, including statistical analysis, forecasting, and predictive modeling
• 5+ years of hands-on experience in ML development, leveraging advanced algorithms such as Random Forest, Gradient Boosting (e.g., XGBoost, LightGBM), SVM, deep learning models (e.g., CNNs, RNN, LSTM, GANs, GNNs), and clustering techniques (e.g., K-means, DBSCAN), including autoencoders
• 5+ years of hands-on experience designing, implementing, and maintaining CI/CD pipelines to automate testing, integration, and deployment of data science and ML solutions
• 5+ years of experience designing, developing, and maintaining ETL processes for data integration, transformation, and loading across diverse data systems
• 5+ years of experience working in cloud environments such as AWS, Azure, or Google Cloud Platform (GCP), including deployment, data integration, and scalable infrastructure design
• 2+ years of experience working knowledge of healthcare analytics
• Team lead experience—served as technical lead for a team of 3–5 FTEs
• Proficient in programming languages: Python, R, SQL, SAS
• Proficient in dashboard development using Tableau, Power BI, Python, and/or R
• Proficient in Git version control tools: GitHub, GitLab, Bitbucket
• Proven ability to communicate complex findings effectively to various audiences, including non-technical and technical stakeholders
• Strong problem-solving skills and ability to identify and solve complex business problems using data
• Ability to work with cross-functional teams consisting of data engineers, data scientists, business analysts, project managers, and stakeholders to develop and deploy data-driven solutions
• Proven ability to serve as a technical lead and mentor junior data scientists
• Excellent written and verbal communication skills; able to convey technical concepts and maintain effective interpersonal relationships
• Strong organizational skills with ability to manage multiple tasks and meet critical deadlines
• Self-motivated with the ability to thrive 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 AL/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 AL/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
• 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
• Bonuses