Geospatial Data Scientist

St Louis, MO

Full-time

Onsite

$78K/yr - $176K/yr

Entry, Mid Level

Booz Allen Hamilton is seeking a Geospatial Data Scientist to unlock insights from complex data sets using IoT, machine learning, and artificial intelligence. In this role, you will analyze data to help clients make informed decisions and solve global challenges across various sectors such as fraud detection and national intelligence.

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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 information puzzle.
Develop algorithms and systems to turn disparate data points into objective answers.
Provide a deep understanding of the data, what it all means, and how it can be used.

Qualification

Required

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
Bachelor’s degree

Preferred

Experience with multiple intelligence types such as SIGINT, OSINT, ELINT, GEOINT, MASINT, or HUMINT
Experience with Brewlytics, ArcPro, or other geospatial data analysis tools
Experience with common programming languages, including R, SQL, HTML, and JavaScript
Experience providing embedded data science or automation support to analytic teams
Experience analyzing geospatially enabled data
Knowledge of GEOINT collection and associated systems
Ability to learn new technologies and adapt to dynamic mission needs
Ability to work collaboratively with a remote team
TS/SCI clearance with a polygraph
Master’s degree