About the position
As a data scientist, 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. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.
Responsibilities
- Unlock secrets held by data sets using IoT, machine learning, and AI.
- Turn complex data sets into useful information to solve global challenges.
- Work closely with clients to understand their questions and needs.
- Analyze data-rich environments to find pieces of information puzzles.
- Develop algorithms and systems to provide objective answers.
- Provide a deep understanding of data and its implications.
Requirements
- 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-haves
- 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.
Benefits
- Health, life, and disability insurance.
- Financial and retirement benefits.
- Paid leave and professional development.
- Tuition assistance and work-life programs.
- Dependent care support.
- Recognition awards program for exceptional performance.
