BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD
Advanced Data Scientist
BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD, Honolulu, Hawaii, United States, 96814
Advanced Data Scientist
role at Booz Allen Hamilton International (U.K.) Ltd Location: Honolulu, HI, US | Hybrid/Remote The Opportunity
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated 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. We are looking for someone with a strong STEM background who is eager to learn and grow in their role. The DoD space is looking for individuals with exceptional mathematical modeling backgrounds who have done outstanding work utilizing highly quantitative techniques characteristic of disciplines such as physics and the hard sciences. Our offices are leading efforts related to optimization of logistics planning, and we would love for you to bring expertise or interest in operations research-related optimization problems. We also work on problem sets involving Generative AI, autonomy, and R&D, so you will be exposed to a wide variety of modeling aspects. We are looking for someone who is creative and excited about solving problems from a variety of angles. You’ll work closely with clients to understand their questions and needs, then dig into their data-rich environments to find the pieces of their information puzzle. You’ll play a key role in developing algorithms and systems, using the right combination of tools and frameworks to turn disparate data points into objective answers to advise clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data and how it can be used. Join us. The world can’t wait. You Have
Experience in complex mathematical modeling such as AI/ML, simulations, or data mining Experience working in academic STEM research areas, and working with impactful industry-oriented data science and quantitative analysis or modeling Experience with mathematics such as linear algebra, vector calculus, and optimization Experience utilizing Python for mathematical modeling and data work leveraging standard libraries such as NumPy, pandas, Matplotlib, and scikit-learn Experience working with code as a programmer Ability to break down complex problems into tractable programmatic and mathematical pieces that can be effectively solved in an organized and efficient manner Secret clearance Master’s degree in a Science, Technology, Engineering, Mathematics, Physics, Statistics, or CS field Nice If You Have
Experience with distributed data and computing tools such as Spark, MapReduce, and Hadoop Experience working with cloud-based environments such as AWS Experience with Generative AI techniques, including LLMs and AI Agents Experience with Reinforcement Learning Experience with evolutionary and genetic algorithms Experience solving optimization problems from an operations research perspective such as linear or nonlinear programming and constraint programming Experience with parallel computing techniques such as multithreading or multiprocessing for producing highly efficient code Experience writing production-level code for maximum efficiency, speed, and reliability Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation
Salary range: $69,400.00 to $158,000.00 (annualized USD). The projected compensation range is determined by location, education, experience, and other factors. This posting will close within 90 days from the posting date. 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 Booz Allen or client-site facilities. If onsite, you’ll work with colleagues and clients in person as needed for the role. 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. Seniority level
Mid-Senior level Employment type
Part-time Job function
Engineering and Information Technology Industries
Business Consulting and Services
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role at Booz Allen Hamilton International (U.K.) Ltd Location: Honolulu, HI, US | Hybrid/Remote The Opportunity
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated 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. We are looking for someone with a strong STEM background who is eager to learn and grow in their role. The DoD space is looking for individuals with exceptional mathematical modeling backgrounds who have done outstanding work utilizing highly quantitative techniques characteristic of disciplines such as physics and the hard sciences. Our offices are leading efforts related to optimization of logistics planning, and we would love for you to bring expertise or interest in operations research-related optimization problems. We also work on problem sets involving Generative AI, autonomy, and R&D, so you will be exposed to a wide variety of modeling aspects. We are looking for someone who is creative and excited about solving problems from a variety of angles. You’ll work closely with clients to understand their questions and needs, then dig into their data-rich environments to find the pieces of their information puzzle. You’ll play a key role in developing algorithms and systems, using the right combination of tools and frameworks to turn disparate data points into objective answers to advise clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data and how it can be used. Join us. The world can’t wait. You Have
Experience in complex mathematical modeling such as AI/ML, simulations, or data mining Experience working in academic STEM research areas, and working with impactful industry-oriented data science and quantitative analysis or modeling Experience with mathematics such as linear algebra, vector calculus, and optimization Experience utilizing Python for mathematical modeling and data work leveraging standard libraries such as NumPy, pandas, Matplotlib, and scikit-learn Experience working with code as a programmer Ability to break down complex problems into tractable programmatic and mathematical pieces that can be effectively solved in an organized and efficient manner Secret clearance Master’s degree in a Science, Technology, Engineering, Mathematics, Physics, Statistics, or CS field Nice If You Have
Experience with distributed data and computing tools such as Spark, MapReduce, and Hadoop Experience working with cloud-based environments such as AWS Experience with Generative AI techniques, including LLMs and AI Agents Experience with Reinforcement Learning Experience with evolutionary and genetic algorithms Experience solving optimization problems from an operations research perspective such as linear or nonlinear programming and constraint programming Experience with parallel computing techniques such as multithreading or multiprocessing for producing highly efficient code Experience writing production-level code for maximum efficiency, speed, and reliability Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation
Salary range: $69,400.00 to $158,000.00 (annualized USD). The projected compensation range is determined by location, education, experience, and other factors. This posting will close within 90 days from the posting date. 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 Booz Allen or client-site facilities. If onsite, you’ll work with colleagues and clients in person as needed for the role. 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. Seniority level
Mid-Senior level Employment type
Part-time Job function
Engineering and Information Technology Industries
Business Consulting and Services
#J-18808-Ljbffr