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# Data Scientist and Automation Engineer, Senior

- **Company:** BOOZ, ALLEN & HAMILTON, INC.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $99,000 - $225,000
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Automation of Tests, Big Data, Continuous Integration, Data Validation, Extract Transform Load (ETL), DevOps, Github, Python (Programming Language), Machine Learning, Meta-Data Management, Windows PowerShell, Scrum Methodology, Secure Coding, Microsoft SharePoint, Azure Automation, Scripting, HybridCloud, Pytest, Data Analytics, Data Pipelines
- **Published:** November 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/99285555-0c6c-40f0-a75f-56e638b8ae37/data-scientist-and-automation-engineer-senior

## About the Role

* 10+ years of experience supporting the DoD in data science, advanced analytics, or large-scale data engineering within mission environments
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 * 10+ years of experience developing automation and analytics solutions using scripting languages such as Python or PowerShell
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 * Experience processing large data sets, optimizing ETL or ELT pipelines, and applying statistical or machine learning methods to mission-critical workflows
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 * Experience building and validating automation or analytics scripts with testing frameworks such as Pester or PyTest
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 * Experience implementing secure coding practices, role-based access, and compliance-aligned automation
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 * Experience supporting Agile delivery, backlog refinement, sprint planning, and cross-functional collaboration
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 * Ability to modernize legacy scripts or codebases for performance, reliability, and scalability, * Ability to design and implement data-driven dashboards, data quality checks, workflow improvements, and process automation tools, * Experience as a data scientist, utilizing advanced data analytics across a larger enterprise environment
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 * Experience implementing or supporting CI/CD pipelines, DevOps workflows, and automated test frameworks
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 * Experience with Python, R, ML, or AI analytics workflows supporting data-driven decision-making
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 * Experience with data cataloging, retention, archival, or metadata enrichment
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 * Experience building automation linked to M365, SharePoint, or Power Platform ecosystems
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 * Experience with Azure automation, GitHub Actions, or hybrid cloud scripting solutions