Data Scientist, Mid

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: McLean, VAWashington, DC
Salary: $99,000–$225,000 / yr
Posted: 3 days ago
Closes: Sep 12, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $157k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 61% of similar roles. Most pay $126,800–$188,050 — the shaded band above. At the midpoint, this role pays about $162k versus about $157k 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 690 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 681 roles with salary data.

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At a glance

TL;DR · Data Scientist, Mid

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As a mid-level Data Scientist joining our dynamic team, you will leverage your expertise in deep learning and AI frameworks such as PyTorch, TensorFlow, and Keras to develop innovative solutions for complex business challenges. Your daily tasks will involve working with Retrieval-Augmented Generation (RAG) systems and Large Language Models (LLMs), contributing to the advancement of our cutting-edge products that aim to revolutionize how we interact with data and information on a large scale. This role requires strong analytical skills, proficiency in Python or similar programming languages, and an ability to collaborate effectively within a fast-paced environment focused on delivering impactful AI-driven solutions.

Skills

PyTorch TensorFlow Keras RAG LLMs

What you'll do

Develop and implement machine learning models using frameworks like PyTorch, TensorFlow, and Keras.
Conduct research on Retrieval-Augmented Generation (RAG) techniques to enhance model performance.
Analyze large datasets to extract meaningful insights and drive business decisions.
Collaborate with cross-functional teams to identify opportunities for AI integration.
Stay updated with the latest advancements in deep learning and artificial intelligence.

What we're looking for

Bachelor’s degree required.
Experience with Deep Learning and AI frameworks like PyTorch, TensorFlow, and Keras.
Familiarity with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
Strong analytical skills and experience in data analysis.
Ability to work effectively in a collaborative team environment.

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