Computer Scientist, Mid

Booz Allen Hamilton

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Work type
On-site
Location
Aurora, CO
Employment
Full-time
Posted
69 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $169k
$93k $224k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$211,750.

Based on 240 similar postings.

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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 · Computer Scientist, Mid

As a Computer Scientist, Mid on the National Security team, you will steer complex data exploration and analytics projects to support the Intelligence Community. You will build and operationalize advanced AI/ML models, specifically leveraging LLMs and agentic AI for data retrieval, cleaning, and accuracy testing. Your daily work involves correlating technical findings into visual and verbal narratives for non-technical leadership while managing data architecture and cloud computing platforms. You will utilize a technical stack including Python, R, SQL/NoSQL, and distributed computing tools like Spark, Kafka, and Hadoop. Core competencies include predictive modeling, data mining, and statistics. You will solve critical problems by applying innovative methodologies to improve government efficiency and public services within a classified network environment requiring an active TS/SCI clearance.

What you'll do

  • Build advanced analytics and AI/ML models, including tools leveraging LLMs or agentic AI.
  • Perform data retrieval, cleaning, modeling, accuracy evaluation, and testing.
  • Steer complex data exploration and analytics projects for Intelligence Community clients.
  • Operationalize models using containerization, data architecture, and cloud computing platforms.
  • Visualize complex data and concepts for non-technical leadership to highlight system risks.
  • Correlate complex technical findings into graphical, written, visual, and verbal narrative products.
  • Develop algorithms using programming languages such as R, Python, or SQL/NoSQL.
  • Author patents, peer-reviewed papers, and code submissions to shape the future of analytics.

What we're looking for

  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • Bachelor’s degree and 3+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing.
  • 7+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree.
  • 3+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products.
  • Experience building advanced analytics and AI/ML models, particularly tools leveraging LLMs or agentic AI, including data retrieval, cleaning, modeling, accuracy evaluation, and visualization.
  • Experience working on classified networks in support of DoW or IC clients.
  • Ability to visualize complex data and concepts for non-technical leadership, highlighting system risks and articulating "go or no-go" criteria clearly.
  • 2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL (preferred); 2+ years of experience with Distributed data and computing tools (preferred); 2+ years of experience with Machine Learning, AI or NLP (preferred); Master’s degree (preferred).

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