Booz Allen Hamilton
Overview
Geospatial Data Scientist at Booz Allen Hamilton. You will help turn complex data sets into useful information to solve global challenges across private and public sectors, including fraud detection, cancer research, and national intelligence. Responsibilities
Use analytical skills and data science knowledge to create real-world impact by exploring, cleaning, analyzing, and visualizing data. Work with clients to understand questions and needs, and analyze data-rich environments to extract answers. Develop algorithms and systems, selecting appropriate tools and frameworks to transform disparate data points into objective insights for informed decision-making. Provide deep understanding of the data and how it can be used to support client goals. You Have
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 Nice If You Have
Experience with multiple intelligence types (e.g., SIGINT, OSINT, ELINT, GEOINT, MASINT, HUMINT) Experience with Brewlytics, ArcPro or other geospatial data analysis tools Experience with R, SQL, HTML, 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 Master’s degree Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation
Salary is determined by location, education, experience, and other factors. Projected compensation range: $77,500.00 to $176,000.00 (annualized USD). This posting will close within 90 days from the Posting Date. Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify identity and prevent fraud. Work Model
Our people-first culture prioritizes flexibility and collaboration, whether in person or remotely. If listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If listed as onsite, you’ll work with colleagues and clients in person as needed. Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.
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Geospatial Data Scientist at Booz Allen Hamilton. You will help turn complex data sets into useful information to solve global challenges across private and public sectors, including fraud detection, cancer research, and national intelligence. Responsibilities
Use analytical skills and data science knowledge to create real-world impact by exploring, cleaning, analyzing, and visualizing data. Work with clients to understand questions and needs, and analyze data-rich environments to extract answers. Develop algorithms and systems, selecting appropriate tools and frameworks to transform disparate data points into objective insights for informed decision-making. Provide deep understanding of the data and how it can be used to support client goals. You Have
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 Nice If You Have
Experience with multiple intelligence types (e.g., SIGINT, OSINT, ELINT, GEOINT, MASINT, HUMINT) Experience with Brewlytics, ArcPro or other geospatial data analysis tools Experience with R, SQL, HTML, 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 Master’s degree Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation
Salary is determined by location, education, experience, and other factors. Projected compensation range: $77,500.00 to $176,000.00 (annualized USD). This posting will close within 90 days from the Posting Date. Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify identity and prevent fraud. Work Model
Our people-first culture prioritizes flexibility and collaboration, whether in person or remotely. If listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If listed as onsite, you’ll work with colleagues and clients in person as needed. Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.
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