Why this role stands out
This hybrid Data Scientist role offers an exciting opportunity to leverage your advanced analytical and coding skills to drive critical decision-making for a mission-driven organization, with the potential for significant career growth. You'll thrive here if you possess strong experience in data visualization, time-series analysis, and possess an active Top Secret/SCI with Polygraph clearance, making you an invaluable asset to The Swift Group's impactful work. Apply today to join a reputable company and contribute to vital projects.
Quick overview
Job description
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 are looking for a Data Scientist in McLean, VA.
Job Description
- Provide data analysis services, including data graphics and dashboards, to help identify challenges and opportunities
- Leverage coding skills and proficiency in Tableau to transform unstructured data into actionable insights, supporting customer decision-making related to production, resources and personnel Requirements:
- Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
- 5 years of experience in data analytics, with proficiency in relational and NoSQL databases ( e.g., PostgreSQL, MySQL, MongoDB) and SQL querying
- 5 years of experience utilizing Python or R programming with relevant libraries (e.g., Pandas, NumPy, Matplotlib)
- 5 years of experience with time-series data ana lysis and producing data visualizations
- US citizenship and an active Top Secret/SCI with Polygraph security clearance required Desired Experience:
- Experience with Tableau Prep
- Experience using Splunk, including automated processes
- Experience using enterprise services, security controls, and data management practices
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