Booz Allen Hamilton
Overview
Data Scientist opportunities at Booz Allen Hamilton. The role involves unlocking insights from structured and unstructured data, applying IoT, machine learning, and AI to solve global challenges across private and public sectors. Data Scientists at Booz Allen help turn complex data sets into useful information to answer client questions and support decision making. The Opportunity
On our team, you’ll use analytical skills and data science knowledge to create real-world impact. You’ll work with clients to understand their questions, explore data-rich environments, and develop algorithms and systems to turn data points into objective answers. Work with us as we use data science for good. Join us. The world can’t wait. You Have
1+ years of experience in statistics, operations research, or advanced mathematics Experience with R or Python Experience using scientific methods to inform qualitative and quantitative analyses Ability to work effectively in a collaborative and fast-paced environment TS/SCI clearance with a polygraph HS diploma or GED Nice If You Have
Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management Experience analyzing large-scale datasets Experience with data gathering, cleansing, and parsing Experience developing and applying optimization and simulation models Ability to work in Windows and Linux OS environments Bachelor\'s degree in Operations Research, Applied Mathematics, or Data Science 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 with polygraph is required. Compensation
Salary is determined by location and the candidate\'s education, knowledge, skills, competencies, experience, contract-specific factors, and organizational requirements. The projected compensation range for this position is $77,600 to $176,000 (annualized USD). This posting will close within 90 days from the Posting Date. Identity Statement
As part of the application process, you may be on camera during interviews and assessments. Booz Allen reserves the right to verify identity. Work Model
We prioritize 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 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 law. Job Details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at Booz Allen Hamilton.
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Data Scientist opportunities at Booz Allen Hamilton. The role involves unlocking insights from structured and unstructured data, applying IoT, machine learning, and AI to solve global challenges across private and public sectors. Data Scientists at Booz Allen help turn complex data sets into useful information to answer client questions and support decision making. The Opportunity
On our team, you’ll use analytical skills and data science knowledge to create real-world impact. You’ll work with clients to understand their questions, explore data-rich environments, and develop algorithms and systems to turn data points into objective answers. Work with us as we use data science for good. Join us. The world can’t wait. You Have
1+ years of experience in statistics, operations research, or advanced mathematics Experience with R or Python Experience using scientific methods to inform qualitative and quantitative analyses Ability to work effectively in a collaborative and fast-paced environment TS/SCI clearance with a polygraph HS diploma or GED Nice If You Have
Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management Experience analyzing large-scale datasets Experience with data gathering, cleansing, and parsing Experience developing and applying optimization and simulation models Ability to work in Windows and Linux OS environments Bachelor\'s degree in Operations Research, Applied Mathematics, or Data Science 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 with polygraph is required. Compensation
Salary is determined by location and the candidate\'s education, knowledge, skills, competencies, experience, contract-specific factors, and organizational requirements. The projected compensation range for this position is $77,600 to $176,000 (annualized USD). This posting will close within 90 days from the Posting Date. Identity Statement
As part of the application process, you may be on camera during interviews and assessments. Booz Allen reserves the right to verify identity. Work Model
We prioritize 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 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 law. Job Details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at Booz Allen Hamilton.
#J-18808-Ljbffr