Data Scientist
$150,000–$170,000 year
RemoteUnited States
Job Summary
Design, configure, develop, test, and support informatics and data science solutions for diverse technical use cases while optimizing AI models for performance and scalability using Apache Spark/Databricks and GPU-enabled Kubernetes clusters. Collaborate with cross-functional teams to integrate AI solutions into Search Portfolio products, manage the full lifecycle of ML components from research to deployment, and apply analytical methodologies to diagnose data challenges. Document requirements, design alternatives, and findings for team members and clients, while maintaining common libraries and tools used across multiple teams. This role supports the Defense Health Agency's acceleration of data and AI adoption to generate decision advantage across the enterprise. Occasional travel of 10-15% is required to support mission needs and client meetings.
Required Qualifications
- Bachelor's degree plus 7–10 years of experience, or a Master's degree plus 5 years of experience in a relevant field
- Must currently hold an active Top Secret security clearance, or at minimum an active Secret clearance with the ability and willingness to obtain a Top Secret/SCI clearance
- Experience with ML fields, including natural language processing, computer vision, and statistical learning theory
- Hands-on experience with Natural Language Processing (NLP), Large Language Models (LLMs), text embedding, semantic query, generative AI for text, and Retrieval Augmented Generation (RAG)
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects
- Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks
- Experience with version control systems such as Git, enabling effective collaboration and code management
- Demonstrated experience in an ML engineer or data scientist role building and deploying ML models
- Proficiency writing code in one or more of the following: Python, R, Scala, Java, or C++, with documentation for reproducibility
- Experience using Apache Spark/Databricks distributed compute environments for AI/ML workloads
- Experience handling petabyte-scale datasets, discovering hidden patterns, utilizing data visualization tools, writing SQL, and working with GPUs to develop models
- Experience with cloud-based data persistence products, especially RDS PostgreSQL and PostgreSQL extensions such as pgvector
- Strong written and verbal communication skills with the ability to convey technical concepts to business, technical, and lay audiences; experience delivering data-driven presentations
- Occasional Travel Required: The candidate may be required to travel occasionally (e.g., 10-15%) to support mission needs, participate in client meetings, or collaborate with cross-functional teams at various DoD/DHA sites
Desired Qualifications
- DoD/DHA Enterprise Experience: Prior experience working within a Department of Defense (DoD) or Defense Health Agency (DHA) enterprise environment, with a strong understanding of military health systems, programs, and organizational structures
- Security Certification: Holds a current CompTIA Security+ certification or a higher-level security certification (e.g., CISSP, CASP+, CEH), in compliance with DoD 8570/8140 Information Assurance requirements
- Familiarity with DHMSM, MHS GENESIS, or other DoD electronic health record (EHR) systems and associated data ecosystems
- Experience working within Agile or DevSecOps environments supporting government programs
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