Geospatial Data Scientist

1w1 week ago

Booz Allen Hamilton

St. Louis, US · Full-time · $77,500 – $176,000

About this role

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. At Booz Allen, you can help turn these complex data sets into useful information to solve global challenges across private and public sectors.

On the team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with clients to understand their questions and needs, then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems using the right combination of tools and frameworks.

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. Work in the IC using multi-INT data sources for geospatial analysis with tools like JEMA.

Work with us as we use data science for good. Join us. The world can't wait.

Requirements

2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
2+ years of experience with statistical and general-purpose programming languages, such as Python for data analysis
Experience working in the IC using multi-INT data sources for analysis
Experience with JEMA
Active TS/SCI clearance; willingness to take a polygraph exam
Experience with multiple intelligence types, such as SIGINT, OSINT, ELINT, GEOINT, MASINT, or HUMINT
Experience with Brewlytics, ArcPro or other geospatial data analysis tools

Responsibilities

Unlock secrets held by data sets using IoT, machine learning, and artificial intelligence
Turn complex data sets into useful information to solve global challenges
Work closely with clients to understand questions and needs
Dig into data-rich environments to find pieces of the information puzzle
Develop algorithms and systems using tools and frameworks
Turn disparate data points into objective answers for informed decisions
Analyze multi-INT data sources including GEOINT in IC environments
Provide deep understanding of geospatial data and its applications