AI/ML Engineer and Data Scientist

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Fort Belvoir, VA
Salary: $99,000–$225,000 / yr
Posted: 20 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k

This role $162k

$81k most similar roles pay here $265k

This role pays less than 70% of similar roles. Most pay $162,000–$241,750 — the shaded band above. At the midpoint, this role pays about $162k versus about $202k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer and Data Scientist

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As an AI/ML Engineer and Data Scientist, you will join a team dedicated to transforming complex structured and unstructured data into actionable information to solve global challenges like fraud detection and cancer research. You will work closely with clients to identify their needs, lead the development of algorithms and systems, and provide deep insights from disparate data points. Your daily responsibilities include data exploration, cleaning, mining, and building predictive models using machine learning, natural language processing, and text mining techniques. The role requires proficiency in programming languages for analysis, REST APIs, webhooks, and automation middleware. You will utilize tools such as Python, R, SQL, NoSQL, Gitlab, and Spark, alongside visualization packages like Plotly or Seaborn. This position focuses on solving complex problems within the domains of national intelligence and public sector research.

Skills

Machine Learning Natural Language Processing Python SQL NoSQL Spark Hadoop Kafka Hive EMR Gurobi Palantir Plotly Seaborn ggplot2 Gitlab CI/CD Argo CD REST APIs Jira Confluence

What you'll do

Analyze structured and unstructured data sets to identify key information and solve complex problems.
Develop machine learning models, algorithms, and predictive analytics to provide objective answers for clients.
Perform full-stack analytic processes including data exploration, cleaning, mining, and visualization.
Implement natural language processing and text mining techniques to extract insights from data.
Integrate enterprise systems and automate workflows using REST APIs, webhooks, and middleware.
Translate complex data findings into actionable information to guide client decision-making.
Lead the development of technical systems and provide guidance to teammates on project goals.

What we're looking for

Master's degree (preferred).
3+ years of experience with statistical and general-purpose programming languages for data analysis.
3+ years of experience analyzing structured and unstructured data sources.
Experience with full stack analytic processes, including exploration, cleaning, analysis, visualization, and mining.
Experience developing predictive models, quantitative analyses, and using NLP, text mining, or machine learning techniques.
Experience with REST APIs, webhooks, automation middleware, and integrating enterprise systems like Jira or Confluence.
Experience with tools such as Gitlab, CI/CD, R, Python, SQL, NoSQL, Hadoop, Spark, or visualization packages (preferred).
TS/SCI clearance.

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