Data Scientist

Booz Allen Hamilton•McLean, VA

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, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep AI and analytics expertise and advisory mindset, 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 perform complex data exploration and analytics projects through your experience with mathematics and programming. As an advanced data scientist and researcher on our Security team, you'll apply innovative AI methodologies to make a real-world impact on real-world problems. You’ll grow your expertise in data science and shape the future of analytics by working in a collaborative environment to solve some of the nation's hardest problems. We’ll keep you sharp and moving forward in your career, with access to the latest tools and opportunities to publish or present at conferences. Whether you’re using AI to improve government processes or providing better services to the public, you’ll guide a team that serves critical missions from end to end. Join us. The world can’t wait.

Requirements

Experience with coding in Python
Experience with ML operations pipelines
Knowledge of mathematics and statistics, including theory of probability, statistical inference, algorithms, and linear algebra
Ability to derive variational inference procedure mathematically for a novel model and implement the inference procedure in a framework, including PyTorch, TensorFlow, or Numpy
Ability to move between theory and practice
Ability to rapidly learn new technical domains and apply them to machine learning problems
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor's degree

Nice To Haves

Experience with application areas of machine learning, including computer vision, natural language processing, and learning on graphs
Experience with Modern ML and Research Direction
Experience with advance and emerging architectures
Experience with Foundation Models and Representation Learning
Experience with Scientific or Physics Based Modeling
Knowledge of cloud system, including AWS

Responsibilities

Perform complex data exploration and analytics projects through your experience with mathematics and programming.
Apply innovative AI methodologies to make a real-world impact on real-world problems.
Grow your expertise in data science and shape the future of analytics by working in a collaborative environment to solve some of the nation's hardest problems.
Guide a team that serves critical missions from end to end.