Mid Computer Scientist

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Aurora, CO
Salary: $77,600–$176,000 / yr
Posted: 23 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $160k

This role $127k

$64k most similar roles pay here $206k

This role pays less than 54% of similar roles. Most pay $126,750–$192,312 — the shaded band above. At the midpoint, this role pays about $127k versus about $160k 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 · Mid Computer Scientist

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Computer Scientist, Mid joins the National Security team to drive complex data exploration and analytics projects for the Intelligence Community. This role involves building advanced AI/ML models, including tools leveraging LLMs or agentic AI, while performing data retrieval, cleaning, modeling, and accuracy testing. The successful candidate will translate technical findings into visual and written narratives for non-technical leadership to highlight system risks. Key responsibilities include operationalizing models, managing containerization, and navigating data architecture within cloud computing platforms. Required skills include proficiency in mathematics, statistics, information science, probability modeling, and data engineering. Preferred technologies include R, Python, SQL/NoSQL, and distributed tools like Hadoop, Hive, Spark, or Kafka, alongside visualization packages such as Plotly or Seaborn. The role focuses on solving critical intelligence problems through predictive modeling and innovative machine learning methodologies in a secure environment.

Skills

AI Machine Learning NLP Python R SQL NoSQL Spark Hadoop Kafka Hive EMR Gurobi MySQL Plotly Seaborn ggplot2 Containerization Data Engineering Cloud Computing

What you'll do

Build advanced analytics and AI/ML models using LLMs and agentic AI.
Perform data retrieval, cleaning, modeling, and accuracy testing for complex datasets.
Develop and operationalize machine learning models within containerized environments.
Design data architectures on cloud computing platforms for the Intelligence Community.
Translate complex technical findings into visual, written, and verbal narratives for non-technical leadership.
Execute data exploration and predictive modeling to provide actionable results for stakeholders.
Contribute to the field through patents, peer-reviewed papers, and conference presentations.

What we're looking for

Active TS/SCI clearance and willingness to take a polygraph exam.
3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
Experience building advanced analytics and AI/ML models, including LLMs or agentic AI, data retrieval, cleaning, and visualization.
Experience working on classified networks in support of DoW or IC clients.
Ability to visualize complex data for non-technical leadership while highlighting system risks and "go or no-go" criteria.
Bachelor’s degree and 3+ years of experience with scientific techniques such as mathematics, statistics, AI, machine learning, or data engineering.
7+ years of experience with scientific techniques in lieu of a degree.
Experience with R, Python, SQL/NoSQL, distributed computing tools (Hadoop, Spark, etc.), and visualization packages (preferred); Master’s degree (preferred).

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