Data Scientist

Booz Allen Hamilton•Washington, DC

About The Position

Data Scientist The Opportunity: 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 to help create real-world impact. You’ll work closely with 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 work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can 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.

Requirements

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
Experience with statistical and general-purpose programming languages for data analysis, such as Python, R, or SQL
Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
Knowledge of version control tools, including Git, GitLab, GitHub, or Bitbucket
Knowledge of statistical analysis, predictive modeling, and machine learning methods
Ability to design and develop automated analytic software, techniques, and algorithms
Ability to use data visualization tools, including COTS software such as Tableau, PowerBI, or ArcGIS, or FOSS libraries such as seaborn, matplotlib, or ggplot
TS/SCI clearance
Bachelor's degree or 4+ years of experience in data science or computer science in lieu of a degree

Nice To Haves

Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines
Experience with intelligence or operations analysis in the DoD or Intelligence Community
Knowledge of DevOps, including CI/CD pipelines and Jenkins
Possession of strong written and verbal communication skills
TS/SCI clearance with a polygraph