Data Scientist

Swift•Augusta, GA

28d•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 are looking for a Data Scientist to join a robust team in Augusta, GA. 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.

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
A current government clearance, background investigation, and polygraph are required.

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.