Data Scientist - Mentorship and Training

Swift•McLean, VA

1d•Onsite

About The Position

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. We’re looking for a high-performing Data Scientist to combine hands-on data science with leading training modules and mentoring data scientists.

Requirements

BS/MS in Computer Science, Data Science, Statistics, or a related field, or equivalent experience
Minimum 10 years of data science experience
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.

Nice To Haves

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.

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.