BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD
Geospatial Data Scientist
BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD, Saint Louis, Missouri, United States, 63146
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Geospatial Data Scientist
role at
BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD . Overview
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. Responsibilities
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. Work with us as we use data science for good. Join us. The world can't wait. Job Details
Location:
St. Louis, MO, US Remote Work:
No Job Number:
R0224092 Qualifications
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 Qualifications
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 Security 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
$77,500.00
to
$176,000.00
(annualized USD). The posting will close within 90 days from the posting date. Identity and Work Model
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 that happens 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. Job Details
Seniority level: Entry level Employment type: Part-time Job function: Engineering and Information Technology Industries: Business Consulting and Services
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Geospatial Data Scientist
role at
BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD . Overview
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. Responsibilities
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. Work with us as we use data science for good. Join us. The world can't wait. Job Details
Location:
St. Louis, MO, US Remote Work:
No Job Number:
R0224092 Qualifications
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 Qualifications
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 Security 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
$77,500.00
to
$176,000.00
(annualized USD). The posting will close within 90 days from the posting date. Identity and Work Model
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 that happens 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. Job Details
Seniority level: Entry level Employment type: Part-time Job function: Engineering and Information Technology Industries: Business Consulting and Services
#J-18808-Ljbffr