Data Scientist, Senior

Booz Allen Hamilton•Springfield, VA

About The Position

Data Scientist, Senior The Opportunity As a senior analytics professional, you will lead analytic development, guide multi‑disciplinary teams, and shape the data strategy behind mission modernization. Working and leading other data scientist, you will architect end‑to‑end analytic workflows—data engineering, modeling, validation, cloud deployment—and translate mission needs into executable technical solutions. You’ll design models that quantify system behavior, integrate multi‑INT and geospatial datasets, and implement AI/ML solutions optimized for real‑time operational use. You will ingest APIs, building statistical baselines and identifying deviations. You will oversee and provide techniques in the use of tools such as SQL, Python, Excel, FADE/MIST, and Jema. You will partner with agencies and teams to ensure analytic outputs match mission timelines and technical rigor, consistent with the advanced expectations for senior data scientists. You will also contribute to technical approaches and modernization roadmaps that tie directly into mission requirements. Join us. The world can't wait. You Have

Requirements

Experience in data science, machine learning, or large‑scale distributed analytics
Experience with geospatial analytics, multi‑INT fusion, or space‑system data integration
Experience developing, validating, and operationalizing AI/ML models, such as TensorFlow, PyTorch, and Scikit‑learn
Experience with distributed compute frameworks, such as Databricks and Spark, for high‑volume mission data
Experience integrating models into production or mission‑critical workflows, including real-time analytics
Experience with cloud‑native AI/ML platforms such as AWS SageMaker and Azure ML
Ability to lead analytic teams and mentor junior analysts or data scientists
Ability to define analytic CONOPs, translate mission objectives into model requirements, and drive technical execution, and contribute to or lead WBS, RACI, BOE inputs, and enterprise‑level technical approaches
Active TS/SCI clearance; willingness to take a polygraph exam
HS diploma or GED

Nice To Haves

Experience leading IC or DoD analytics for CCMDs or related mission partners
Experience designing or governing enterprise‑level data architectures, catalogs, or metadata frameworks
Experience with operator‑facing systems such as JEMA, FADE/MIST, or mission‑system modeling tools
Experience developing modeling strategies for MTI, ISR, EW, or space‑domain mission data
TS/SCI clearance with a polygraph
Google Professional Machine Learning Engineer Certification
Azure Data Scientist Associate Certification
AWS Certified Machine Learning – Specialty Certification
TensorFlow Developer Certification

Responsibilities

Lead analytic development
Guide multi‑disciplinary teams
Shape the data strategy behind mission modernization
Architect end‑to-end analytic workflows—data engineering, modeling, validation, cloud deployment
Translate mission needs into executable technical solutions
Design models that quantify system behavior
Integrate multi‑INT and geospatial datasets
Implement AI/ML solutions optimized for real‑time operational use
Ingest APIs, building statistical baselines and identifying deviations
Oversee and provide techniques in the use of tools such as SQL, Python, Excel, FADE/MIST, and Jema
Partner with agencies and teams to ensure analytic outputs match mission timelines and technical rigor, consistent with the advanced expectations for senior data scientists
Contribute to technical approaches and modernization roadmaps that tie directly into mission requirements