Data Scientist

Booz Allen Hamilton•Usa, DC

6d•$77,600 - $176,000•Remote

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. Join us. The world can’t wait.

Requirements

Experience using data science programming languages such as Python, R, or SQL
Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
Experience with 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 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
HS diploma or GED and 7+ years of experience in data science, or Bachelor’s degree and 3+ years of experience in data science

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 DoW or Intelligence Community
Knowledge of DevOps, including CI/CD pipelines and Jenkins
TS/SCI clearance with a polygraph

Responsibilities

Use analytical skills and data science knowledge to create real-world impact.
Work closely with clients to understand their questions and needs.
Dig into data-rich environments to find pieces of their information puzzle.
Develop algorithms and systems.
Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions.
Provide a deep understanding of the data, what it all means, and how it can be used.