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. #OpsConsulting

#LI-JP1

The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates. At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits. The Swift Group