Computer Scientist, Mid

Booz Allen HamiltonAurora, CO

About The Position

As an analytic professional with a computer science background, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of computer science, this is the opportunity for you. Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to steer complex data exploration and analytics projects through your experience with programming languages, operationalizing models, containerization, data architecture, cloud computing platforms for the Intelligence Community. As a computer scientist on our National Security team, you’ll learn and apply innovative AI & ML methodologies to make a real-world impact on the Intelligence Community. You’ll grow your skills in data science, AI, machine learning operationalization process, and predictive modeling, and shape the future of analytics through a variety of means like patents, peer-reviewed papers, major conference presentations, and code submissions. We’ll keep you sharp and moving forward in your career, with access to online courses, the latest tools and methods, and opportunities to develop industry-facing publications and presentations. Whether you’re using AI to impact the climate, improving government efficiency, or providing better services to the public, or improving veterans’ experiences, you’ll collaborate with a team that serves critical missions from end to end. Join us. The world can’t wait.

Requirements

  • 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 and cleaning, modeling, accuracy evaluation/testing, 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
  • Active TS/SCI clearance; 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, or 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

Nice To Haves

  • 2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
  • 2+ years of experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • 2+ years of experience with Machine Learning, AI or NLP
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2
  • TS/SCI clearance with a polygraph
  • Master’s degree

Responsibilities

  • Steer complex data exploration and analytics projects through your experience with programming languages, operationalizing models, containerization, data architecture, cloud computing platforms for the Intelligence Community.
  • Learn and apply innovative AI & ML methodologies to make a real-world impact on the Intelligence Community.
  • Grow your skills in data science, AI, machine learning operationalization process, and predictive modeling.
  • Shape the future of analytics through a variety of means like patents, peer-reviewed papers, major conference presentations, and code submissions.
  • Collaborate with a team that serves critical missions from end to end.

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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