Job Description

Join to apply for the Advanced Data Scientist role at Booz Allen Hamilton 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 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. We are looking for someone with a strong STEM background who is eager to learn and grow in their role. You’ll work closely with 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 play a key role in the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. 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 Ability to obtain a 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. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Work Model Our people-first culture prioritizes the benefits of 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. #J-18808-Ljbffr Booz Allen Hamilton

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