Environmental Data Scientist Jobs in Oregon (NOW HIRING)

Core4ce is looking for a Data Scientist to join our team supporting the Defense Health Agency (DHA) and the Defense Healthcare Management System Modernization (DHMSM) Program Executive Office (PEO). In this role, you will contribute to cutting-edge data science and AI solutions that impact the health and readiness of our nation's warfighters. Our team is responsible for the acceleration of the DoD's adoption of data, analytics, and AI to generate decision advantage across the enterprise.

Responsibilities

• Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases
• Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions developed across the DoD community into Search Portfolio products when appropriate
• Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, specifically Apache Spark/Databricks; ability to adapt code base to also run using GPU-enabled Kubernetes clusters
• Stay updated on and contribute to the latest advancements in AI research, applying new findings to improve Search Portfolio products
• Manage the lifecycle of AI/ML components used in Search Portfolio products from research and development to deployment and optimization
• Apply analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance
• Document and present requirements, design alternatives, and findings to team members and clients
• Develop strategic, baselined data modeling processes; accurately determine cause-and-effect relationships
• Utilize integrated development environments, data integration, data visualization, data mining, and analysis tools
• Maintain and guide the development of common libraries and tools used by multiple teams
• Aid in formulating a strategy on how to achieve rapid prototyping

This position is designed to be flexible, with responsibilities evolving to meet business needs and enable individual growth.

Requirements

• 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

Preferred 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

Why Work for Us?

 Core4ce is a team of innovators, self-starters, and critical thinkers—driven by a shared mission to strengthen national security and advance warfighting outcomes.

We offer:

• 401(k) with 100% company match on the first 6% deferred, with immediate vesting
• Comprehensive medical, dental, and vision coverage—employee portion paid 100% by Core4ce
• Unlimited access to training and certifications, with no pre-set cap on eligible professional development
• Tuition assistance for job-related degrees and courses
• Paid parental leave, PTO that grows with tenure, and generous holiday schedules
• Got a big idea? At Core4ce, The Forge gives every employee the chance to propose bold innovations and help bring them to life with internal backing.

Join us to build a career that matters—supported by a company that invests in you.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, disability, veteran status, age, genetic information, or other legally protected status.
*Core4ce provides the listed pay range for this position as a general guideline only and not as a guarantee of compensation or salary. Final offers may take into account a variety of factors, including, but not limited to, job responsibilities, education, experience, knowledge, skills, abilities, internal equity, market data alignment, any applicable collective bargaining agreement, and other legal requirements.