Data Scientist

the-swift-group; Augusta (GA); On-site; USD 90,000 - 140,000; Full time

Job summary

Swift is seeking a Data Scientist to join a robust team in Augusta, GA. This role focuses on extracting insights from large, complex datasets to support mission needs and to develop models, communicating findings clearly to both technical and non-technical stakeholders.

You will apply statistical analyses, build rapid analytic prototypes, and create reproducible Python workflows using Jupyter and Pandas. A Bachelor’s in a quantitative field and at least 3 years of experience, plus API

Qualifications

• 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.

Responsibilities

• Apply core data science skill areas, including mathematical, statistical, and computational foundations.
• Compile, integrate, and manage data from multiple sources using 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.

Skills

Python for data analysis

Jupyter notebooks

Pandas

APIs & data integration

Education

Bachelor's degree in a quantitative field

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 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.

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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