Data Scientist

The Opportunity

As a Data Scientist, you are excited about unlocking secrets within datasets and are fascinated by the possibilities of IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data create new opportunities. As a Data Scientist at Booz Allen, you can help transform these complex datasets into useful information to solve global challenges across various sectors, including fraud detection, cancer research, and national intelligence. On our team, you will leverage your analytical skills and data science knowledge to create real-world impact. You will collaborate closely with clients to understand their questions and needs, then delve into their data-rich environments to find the pieces of their information puzzle. You will develop algorithms and systems, utilizing the appropriate combination of tools and frameworks, to convert disparate data points into objective answers, enabling clients to make informed decisions. Ultimately, you will provide a deep understanding of the data, its meaning, and its potential applications.

Key Responsibilities

• Work with clients to understand their questions and needs.
• Dig into data-rich environments to find relevant information.
• Develop algorithms and systems.
• Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers.
• Provide a deep understanding of the data, its meaning, and how it can be used.

Requirements & Tech Stack

• 1+ years of experience in statistics, operations research, or advanced mathematics.
• Experience with R or Python.
• Experience using scientific methods to inform qualitative and quantitative analyses.
• Ability to work effectively in a collaborative and fast-paced environment.
• TS/SCI clearance with a polygraph.
• HS diploma or GED.

Nice to Have

• Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management.
• Experience analyzing large-scale datasets.
• Experience with data gathering, cleansing, and parsing.
• Experience developing and applying optimization and simulation models.
• Ability to work in Windows and Linux OS environments.
• Bachelor's degree in Operations Research, Applied Mathematics, or Data Science.