AI/ML Engineer and Data Scientist

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Fort Belvoir, VA
Employment: Full-time
Posted: 66 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k

$137k $275k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$241,750.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer and Data Scientist

Role Posting Log in to save

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. You will work closely with clients to understand their specific needs, leading the development of algorithms and systems while guiding teammates through data-rich environments. Your daily responsibilities include data exploration, cleaning, mining, and building predictive models to provide objective answers for informed decision-making. You will utilize a technical stack including Python, R, SQL, NoSQL, and Spark, alongside tools like Gitlab, Kafka, and Palantir. The role requires expertise in natural language processing, machine learning, and REST APIs to address diverse problems ranging from fraud detection to national intelligence and cancer research.

Skills

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

What you'll do

Analyze structured and unstructured data sources to solve complex global challenges.
Develop algorithms and systems to turn disparate data points into objective answers.
Build and deploy predictive data models and quantitative analyses.
Perform data exploration, cleaning, mining, and full-stack analytic processes.
Apply natural language processing, text mining, and machine learning techniques.
Integrate enterprise systems using REST APIs, webhooks, and automation middleware.
Create data visualizations to help clients make informed decisions.
Provide deep technical insights into data meaning and practical applications.

What we're looking for

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 data exploration, cleaning, analysis, visualization, mining, and full stack analytic processes.
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
Experience with natural language processing, text mining, or machine learning techniques.
Experience with REST APIs, webhooks, automation middleware, and enterprise systems like Jira or Confluence.
Ability to travel to OCONUS locations up to 20% of the time.
TS/SCI clearance.

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