Data Scientist, Senior

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Springfield, VA
Salary: $99,000–$225,000 / yr
Posted: 6 days ago
Closes: Sep 6, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 55% of similar roles. Most pay $126,800–$195,167 — the shaded band above. At the midpoint, this role pays about $162k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

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At a glance

TL;DR · Data Scientist, Senior

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As a senior data scientist, you will lead and guide multi-disciplinary teams in developing analytic workflows that include data engineering, modeling, validation, and cloud deployment. Your role involves designing models to quantify system behavior using geospatial datasets and implementing real-time operational AI/ML solutions optimized for mission-critical use. You will work with APIs to build statistical baselines and identify deviations, utilizing tools such as SQL, Python, Excel, FADE/MIST, Jema, TensorFlow, PyTorch, Scikit-learn, Databricks, Spark, AWS SageMaker, and Azure ML. Additionally, you will partner with agencies to ensure analytic outputs align with mission timelines and technical standards, contributing to modernization roadmaps that address specific mission requirements in the geospatial analytics and multi-INT fusion domain.

Skills

Python TensorFlow PyTorch Scikit-learn SQL Databricks Spark AWS SageMaker Azure ML CI/CD Excel FADE/MIST Jema Geospatial analytics Multi-INT fusion Real-time analytics Cloud-native AI/ML platforms

What you'll do

Lead the development and validation of AI/ML models for real-time operational use.
Design end-to-end analytic workflows, integrating data engineering and cloud deployment.
Oversee ingestion of APIs to build statistical baselines and identify deviations.
Mentor junior analysts and guide multi-disciplinary teams in mission modernization.
Contribute to technical approaches and roadmaps that align with mission requirements.

What we're looking for

Extensive experience in data science, machine learning, and large-scale distributed analytics.
Proficiency in geospatial analytics, multi-int fusion, and space-system data integration.
Expertise in developing, validating, and operationalizing AI/ML models using TensorFlow, PyTorch, Scikit-learn.
Experience with cloud-native AI/ML platforms like AWS SageMaker and Azure ML.
Ability to lead analytic teams, mentor junior analysts, and define analytic CONOPs.

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