Data Scientist - Mentorship and Training (AI/ML)
Responsibilities
- 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.
Requirements
- 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.
- Promised experience collaborating with multiple stakeholders and incorporating feedback into iterative improvements.
- 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.
Qualifications
- US citizenship and an active TS/SCI with Polygraph security clearance required.
Benefits
- Comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.
Pay
$49,996.80 - $290,004.00
Schedule
#Onsite
Company Information
The Swift Group is a 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.
Contact Information
We are not working with outside staffing agencies to fill this position, and we will not be accepting unsolicited resumes. All inquiries must go through the recruiting team.
Equal Opportunity/Affirmative Action Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.