Computer Scientist, Mid

Booz Allen Hamilton•Aurora, CO

8d•$69,400 - $158,000

About The Position

As an analytics professional, 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 (ML), and artificial intelligence (AI). If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your analytics, data science, AI, and ML 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, and cloud computing platforms for the Intelligence Community. As an advanced data scientist and researcher on our national security team, you’ll learn and apply innovative AI and ML methodologies to make a real-world impact on the Intelligence Community. You’ll grow your skills in data science, AI, the ML operationalization process, and predictive modeling, and shape the future of analytics through a variety of means such as 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, 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 in engineering or analytics
2+ years of experience using data science programming languages such as Python or R
Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
Knowledge of statistical analysis, predictive modeling, and ML methods
Ability to design and develop automated analytic software, techniques, and algorithms
Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree in Statistics, Data Science, CS, or Social Science and 3+ years of experience in statistics, data science, computer science, and social science, or 4+ years of experience in statistics, data science, computer science, and social science in lieu of a degree

Responsibilities

Steer complex data exploration and analytics projects
Learn and apply innovative AI and ML methodologies
Grow skills in data science, AI, the ML operationalization process, and predictive modeling
Shape the future of analytics through patents, peer-reviewed papers, major conference presentations, and code submissions
Collaborate with a team that serves critical missions