AI/ML Engineer and Data Scientist

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Riverdale, MD
Salary
$77,600–$176,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $127k
$58k most similar roles pay here $259k

This role pays less than 89% of similar roles. Most pay $161,975–$235,762 — the shaded band above. At the midpoint, this role pays about $127k versus about $199k 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 817 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 795 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer and Data Scientist

As an AI/ML Engineer and Data Scientist, you will join a multi-disciplinary team of analysts, developers, and data consumers in a fast-paced, agile environment to build advanced technology solutions. You will be responsible for the assessment, design, building, and maintenance of scalable platforms while developing pipelines that organize disparate data into meaningful insights. Your daily work involves retrieving, merging, and analyzing structured and unstructured data from APIs and databases using Python, R, or SQL. The role requires expertise in Large Language Models, Generative AI, data mining, statistical analysis, and preparing data for AI models. You will solve complex problems in areas such as fraud detection, cancer research, and national intelligence. This position requires a TS/SCI clearance with a polygraph and proficiency in tools used for ETL and intelligence analysis.

What you'll do

  • Develop and deploy pipelines and platforms to organize disparate data sources into meaningful insights.
  • Retrieve, merge, and analyze structured and unstructured data from APIs and databases using Python, R, or SQL.
  • Prepare and process datasets specifically for use with AI and Generative AI models.
  • Manage the assessment, design, building, and maintenance of scalable data platforms for clients.
  • Integrate Large Language Models (LLMs) and GenAI to streamline existing workflows.
  • Perform data mining, statistical analysis, and evaluation of AI/ML model performance.
  • Conduct data architecture and ETL processes for federal agencies or Department of Defense projects.

What we're looking for

  • TS/SCI clearance with polygraph is required.
  • A Bachelor's degree and 8+ years of experience in data engineering are required.
  • 12+ years of experience in data engineering may be accepted in lieu of a degree.
  • 4+ years of experience with major data science languages such as Python and R.
  • 4+ years of experience retrieving, merging, and analyzing structured and unstructured data from APIs and databases using Python, R, or SQL.
  • Experience with Large Language Models (LLMs), Generative AI (GenAI), and preparing data for use with those models.
  • Experience with data analytics, data mining, statistical analysis, or AI and ML.
  • Experience with architecture/ETL for DoD/federal agencies, evaluating model performance, or intelligence analysis (preferred).

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