Data Scientist
HybridBethesda, Maryland, United States
Job Summary
Develop and deploy analytics, machine learning, and generative AI solutions using Python, SQL, and cloud-based services to address mission-critical challenges in defense health. Perform data acquisition, ETL, feature engineering, and validation while building predictive models, dashboards, and visualizations with Power BI or Tableau. Collaborate with clinical, operational, and client stakeholders to gather requirements, translate needs into technical approaches, and communicate findings. Develop APIs and troubleshoot application components within Git-based Agile teams, independently managing deliverables, code reviews, and risk escalation. Produce technical documentation and knowledge-transfer artifacts to support continuous improvement. This role supports a U.S. government program requiring a SECRET clearance, with hybrid work in Falls Church, Virginia, or San Antonio, Texas, and periodic travel.
Required Qualifications
- U.S. Citizen
- SECRET clearance or the ability to obtain and maintain one
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health Informatics, Public Health, or a related field
- Two to four years of experience developing data science, analytics, machine learning, or AI solutions in applied project environments
- Strong proficiency in Python and SQL for data preparation, analytics, model development, testing, and deployment
- Experience developing and evaluating machine learning models, including feature engineering, train/validation/test design, performance assessment, and error analysis
- Working knowledge of NLP and modern AI concepts, including large language models, embeddings, RAG, prompt engineering, retrieval approaches, and output evaluation
- Experience creating dashboards or visual analytics using Power BI, Tableau, Python, or comparable tools
- Familiarity with API-based solutions and integration of data, machine learning, or AI services into broader applications or enterprise environments
- Experience collaborating in a Git-based team environment using code reviews, Agile tickets, and software development best practices
- Ability to work across notebook-based, browser-based, and local development environments, learn unfamiliar technologies quickly, manage competing priorities, and deliver assigned work independently
- Strong communication and problem-solving skills, including proactive status reporting, early escalation of risks and blockers, and effective communication with technical and non-technical audiences
Desired Qualifications
- master's degree
- Experience with Databricks or a comparable cloud-based data and AI platform
- Experience with AWS services, Amazon Bedrock, Amazon Redshift, or related cloud analytics and AI capabilities
- Experience with generative AI applications, RAG, recommendation systems, chatbots, or emerging AI technologies
- Experience implementing automated testing, monitoring, and quality-assurance processes for data science or AI solutions
- Experience supporting the Department of Defense, military or veteran healthcare, federal healthcare, or other public-sector clients in a direct stakeholder or consulting capacity
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