Data Scientist and Automation Engineer, Senior

Booz Allen Hamilton•Washington, DC

9h•$99,000 - $225,000•Hybrid

About The Position

Do you thrive in a mission‑driven environment where modern analytics, intelligent automation, and secure data engineering directly enhance Navy readiness and operational effectiveness? We are seeking a Senior Data Scientist and Automation Engineer to support the Navy records management mission by designing advanced data workflows, scalable analytics solutions, and automated pipelines that strengthen data reliability and accelerate digital transformation. In this role, you will apply deep experience in data science, scripting, and automation, including tools such as Python, PowerShell, and SQL, to modernize enterprise data processes, refactor legacy scripts, and implement secure, high‑performance solutions that enable large‑scale records management modernization. You will collaborate closely with program managers, developers, and Navy stakeholders to analyze requirements, improve data workflows, build predictive and descriptive analytics, and ensure automation aligns with compliance and security standards. You understand that data scientists and automation engineers are central to mission success, integrating disparate data sources, applying advanced analytics, optimizing data movement, and building maintainable, resilient tools that improve decision‑making across the enterprise. You will process massive datasets, validate scripts and applications through Pester testing, build data‑driven insights, develop automation pipelines, and contribute to Agile delivery across multiple modernization initiatives. Your work will directly improve program effectiveness, accelerate digital transformation, and help the Navy establish maintainable, efficient, and secure automation capabilities. Join us. The world can’t wait.

Requirements

10+ years of experience with data science, advanced analytics, or large‑scale data engineering within mission environments such as the DoD
10+ years of experience developing automation and analytics solutions using scripting languages such as Python or PowerShell
Experience processing large data sets, optimizing ETL or ELT pipelines, and applying statistical or machine learning methods to mission‑critical workflows
Experience building and validating automation or analytics scripts with testing frameworks such as Pester or PyTest
Experience implementing secure coding practices, role‑based access, and compliance‑aligned automation
Experience supporting Agile delivery, backlog refinement, sprint planning, and cross‑functional collaboration
Ability to modernize legacy scripts or codebases for performance, reliability, and scalability
Secret clearance
Bachelor’s degree

Nice To Haves

Experience with Navy enterprise systems or records management modernization initiatives
Experience as a data scientist, utilizing advanced data analytics across a larger enterprise environment
Experience implementing or supporting CI/CD pipelines, DevOps workflows, and automated test frameworks
Experience with Python, R, ML, or AI analytics workflows supporting data‑driven decision‑making
Experience with data cataloging, retention, archival, or metadata enrichment
Experience building automation linked to M365, SharePoint, or Power Platform ecosystems
Experience with Azure automation, GitHub Actions, or hybrid cloud scripting solutions
Top Secret clearance
Master’s degree
MSFT Power Platform Certifications

Responsibilities

Design advanced data workflows, scalable analytics solutions, and automated pipelines.
Modernize enterprise data processes and refactor legacy scripts.
Implement secure, high-performance solutions for large-scale records management modernization.
Analyze requirements, improve data workflows, and build predictive and descriptive analytics.
Ensure automation aligns with compliance and security standards.
Integrate disparate data sources, apply advanced analytics, and optimize data movement.
Build maintainable, resilient tools that improve decision-making.
Process massive datasets and validate scripts and applications through Pester testing.
Build data-driven insights and develop automation pipelines.
Contribute to Agile delivery across multiple modernization initiatives.
Design and implement data-driven dashboards, data quality checks, workflow improvements, and process automation tools.