Booz Allen Hamilton
Overview
Join to apply for the
Geospatial Data Scientist
role at Booz Allen Hamilton We are seeking a data scientist to help turn complex data sets into actionable information to solve global challenges across private and public sectors, including fraud detection, cancer research, and national intelligence. Responsibilities
On our team, you’ll use analytical skills and data science knowledge to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then explore their data-rich environments to extract meaningful information. You’ll develop algorithms and systems, using the right tools and frameworks to turn disparate data points into objective answers to help clients make informed decisions. You’ll provide a deep understanding of the data and how it can be used. 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 for data analysis Experience working in the IC using multi-INT data sources for analysis Experience developing and deploying generative AI tools Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree in a technology field Nice If You Have
2+ years of experience with Python for data analysis Experience with multiple intelligence types, including SIGINT, OSINT, ELINT, GEOINT, MASINT, or HUMINT Experience with JEMA, Brewlytics, ArcPro, or other geospatial data analysis tools Experience with R, SQL, HTML, and JavaScript Experience analyzing geospatially enabled data and deploying AI tools into operational software Experience with LLM integration, RAG development, AI agent development, prompt engineering, or natural language processing Knowledge of GEOINT collection and associated systems Ability to learn new technologies and adapt to dynamic mission needs TS/SCI clearance with a polygraph 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 at Booz Allen is determined by various factors, including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $77,600.00 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 your identity and prevent fraud. Work Model
Our people-first culture prioritizes flexibility and collaboration, whether in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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Join to apply for the
Geospatial Data Scientist
role at Booz Allen Hamilton We are seeking a data scientist to help turn complex data sets into actionable information to solve global challenges across private and public sectors, including fraud detection, cancer research, and national intelligence. Responsibilities
On our team, you’ll use analytical skills and data science knowledge to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then explore their data-rich environments to extract meaningful information. You’ll develop algorithms and systems, using the right tools and frameworks to turn disparate data points into objective answers to help clients make informed decisions. You’ll provide a deep understanding of the data and how it can be used. 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 for data analysis Experience working in the IC using multi-INT data sources for analysis Experience developing and deploying generative AI tools Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree in a technology field Nice If You Have
2+ years of experience with Python for data analysis Experience with multiple intelligence types, including SIGINT, OSINT, ELINT, GEOINT, MASINT, or HUMINT Experience with JEMA, Brewlytics, ArcPro, or other geospatial data analysis tools Experience with R, SQL, HTML, and JavaScript Experience analyzing geospatially enabled data and deploying AI tools into operational software Experience with LLM integration, RAG development, AI agent development, prompt engineering, or natural language processing Knowledge of GEOINT collection and associated systems Ability to learn new technologies and adapt to dynamic mission needs TS/SCI clearance with a polygraph 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 at Booz Allen is determined by various factors, including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $77,600.00 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 your identity and prevent fraud. Work Model
Our people-first culture prioritizes flexibility and collaboration, whether in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
#J-18808-Ljbffr