Data Scientist at Swift

Reston, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

0.0

Posted On

21 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Python, SQL, Git, GitFlow, Code Review, Continuous Integration, Linux, Conda, Jupyter Notebooks, Communication, Coaching, Stakeholder Collaboration, Sphinx, RAG, LLMs

Industry

IT Services and IT Consulting

Description

The Swift Group 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. Are you passionate about turning multi-source data into clear insights and training others to do the same? We’re looking for a high-performing Data Scientist to combine hands-on data science with leading training modules and mentoring data scientists. The location of this job is Reston, VA. 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 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: 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. 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. #LI-DI1 #Onsite

Responsibilities

The role involves designing and delivering onboarding and upskilling programs for data scientists, including authoring and refining training materials and playbooks for complex topics. Additionally, the Data Scientist will establish and champion best practices for version control, code review, and continuous integration within data science teams.