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# Data Scientist

- **Company:** SWIFT
- **Location:** Augusta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Data Analysis, Python (Programming Language), Jupyter Notebook, Data Processing, Scripting, Pandas, Build Management, Core Data, Information Technology, Data Analytics
- **Published:** August 27, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9119679/data-scientist

## About the Role

* 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

## Description

* 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.


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