Data Scientist - Mentorship and Training (AI/ML)

• Design and deliver onboarding and upskilling programs for data scientists.
• Design and teach/facilitate in-person trainings to include full day classroom trainings and 1-2-hour deskside trainings
• Author and refine training materials and playbooks that make complex topics approachable.
• Establish and champion best practices for version control (Git/GitFlow), code review, and continuous integration for data science teams.
• Document tools, packages, and methodologies with Sphinx.
• Partner with stakeholders to translate mission needs into training, tooling improvements, and backlog priorities.

• BS/MS in Computer Science, Data Science, Statistics, or a related field, or equivalent experience
• Minimum 10 years of data science experience
• Demonstrated strong research skills, especially in the areas of emerging AI/ML technologies
• Ability to reverse engineer AI/ML models
• Demonstrated understanding of data science, AI/ML in the context of IC missions
• Advanced Python proficiency
• Expertise writing complex, performant SQL across multiple data sources; comfortable with schema exploration and query optimization
• Expertise with Git-based workflows (branches, PRs, code reviews)
• Proficiency with Linux fundamentals (shell, filesystem, SSH), Conda environment management
• Fluency with Jupyter Notebooks for exploration, demos, and reproducible training assets
• Demonstrated ability to debug code and data issues
• Exceptional communication skills and a coaching mindset; able to explain technical concepts clearly to junior data scientists in visual, verbal, and written formats
• Proven experience collaborating with multiple stakeholders and incorporating feedback into iterative improvements
• Desire to learn new data science techniques or software and prepare trainings
• US citizenship and an active TS/SCI with Polygraph security clearance required.

Desired Experience:

• Experience developing new training modules from scratch, benchmarking skills needed in collaboration with stakeholders
• Elastic Stack familiarity (Elasticsearch indexing/search patterns, Kibana visualizations, Logstash/Filebeat pipelines).
• Apache Spark (PySpark) for large-scale data processing and performance tuning.
• FastAPI for building well-documented, testable services that expose models and analytics.
• Docker and microservices fundamentals
• ETL/ELT design patterns and data workflow orchestration
• Sphinx for generating maintainable, versioned documentation from source.
• Understanding of API security and certificates
• Experience with client's Data Science environment
• Knowledge and implementation of Retrieval-Augmented Generation (RAG) and LLMs
• Experience with web development through Gradio, Streamlit, etc.

Do you know anyone for this position, or other positions open at The Swift Group? We offer a $5,000 bonus for any referral candidate we hire, paid out at the new hire's 90-day mark.

Swift is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe.