Data Scientist
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 to join a robust team in Annapolis Junction and/or Laurel, MD. This role focuses on extracting insights and value from large, complex datasets to support mission needs. The ideal candidate applies a blend of mathematical, statistical, computational, and domain-specific expertise to analyze data, develop models, and communicate clear, actionable findings to both technical and non-technical stakeholders.
Responsibilities:
- Apply two or more core data science skill areas, including:
- Mathematical, computational, and statistical foundations
- Data processing, management, curation, visualization, and reproducible analytic workflows
- Data modeling, inference, prediction, and domain-specific analysis
- Compile, integrate, and manage data from multiple sources using computer scripting, APIs, and analytic tools.
- Develop and apply statistical analyses, data models, and quantitative methods to explore, assess, and characterize large and complex datasets.
- Design and build rapid analytic prototypes to generate metrics and insights, including performance metrics for sensor or system data.
- Develop reproducible data analysis workflows using Python and common data science tools (e.g., Jupyter notebooks, Pandas).
- Interact with APIs and existing tools to retrieve, process, and analyze data; develop or extend tools as needed to support analytics.
- Translate mission or operational questions into technical and analytic requirements and corresponding analytic approaches.
- Evaluate data quality, structure, and limitations, and account for these factors in analytical methods and conclusions.
- Communicate complex analytical methods, results, and recommendations clearly to both technical and non-technical stakeholders.
- Assess and recommend analytic techniques, tools, and technical solutions based on evolving data collection, processing, storage, and analytics capabilities and constraints.
- Collaborate with multidisciplinary teams to support data-driven decision-making in mission environments.
Requirements:
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline (or equivalent experience)
- Minimum of three (3) years of relevant data analysis or data science experience
- Experience with data compilation and integration from multiple sources using scripting and APIs
- Experience applying statistical analysis and data modeling techniques
- Proficiency in Python for data analysis, including use of Jupyter notebooks and Pandas
- Experience developing rapid analytic prototypes and performance metrics
Security Clearance: A current government clearance, background investigation, and polygraph are required.
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