AI/ML Engineer and Data Scientist

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $127k
$55k $286k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $165,000–$249,500 — the blue band above. At the midpoint, this role pays about $127k versus about $207k 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 1781 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 898 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer and Data Scientist

The AI/ML Engineer and Data Scientist joins a multi-disciplinary team of analysts, developers, and data consumers to build advanced technology solutions for mission-driven projects. This role involves managing the assessment, design, building, and maintenance of scalable platforms while deploying pipelines that organize disparate data into meaningful insights. The individual will perform analytical exploration, data examination, and data mining to solve problems in areas such as fraud detection, cancer research, and national intelligence. Required technical skills include proficiency in Python, R, and SQL for retrieving and merging structured and unstructured data from APIs and databases. Candidates must also possess experience with Large Language Models, Generative AI, and statistical analysis. The position requires a TS/SCI clearance with a polygraph and significant experience in data engineering.

What you'll do

  • Deploy and develop data pipelines and platforms to organize disparate data sources.
  • Manage the assessment, design, building, and maintenance of scalable data platforms.
  • Retrieve, merge, and analyze structured and unstructured data from APIs and databases.
  • Prepare data specifically for use with AI and Generative AI models.
  • Integrate Large Language Models (LLMs) and GenAI to streamline existing workflows.
  • Conduct data architecture and ETL processes for federal or DoD requirements.
  • Evaluate the performance of AI and ML models.

What we're looking for

  • TS/SCI clearance with polygraph is required.
  • Bachelor’s degree and 8+ years of experience in data engineering are required.
  • 12+ years of experience in data engineering is required in lieu of a degree.
  • 4+ years of experience with major data science languages such as Python and R is required.
  • 4+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, or SQL is required.
  • Experience with Large Language Models (LLMs) and Generative AI (GenAI) is required.
  • Experience preparing data for use with AI or GenAI models is required.
  • Experience with data analytics, data mining, statistical analysis, or AI and ML is required.
  • Experience streamlining existing workflows by integrating LLMs and GenAI (preferred).
  • Experience conducting data architecture and ETL for the DoD or a federal agency (preferred).
  • Experience evaluating AI and ML model performance (preferred).
  • Experience with intelligence analysis (preferred).

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