Quantitative Social Scientist, Senior with Security ...

Job Number: R0134502 Quantitative Social Scientist, Senior The Challenge Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artifi cia l intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a Data Scientist focusing, you can 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 - you know the answers are in the data. We have an opportunity for you to use your leadership and analytical skills to improve a client''s machine learning and statistical modeling capabilities. You''ll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You''ll mentor teammates and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions. You''ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in building this capability. We are seeking candidates with a passion for quantitative so cia l sciences and what it can bring to our clients. If you are an individual that gets excited by data, supporting data visualization and predictive models, and briefing stakeholders on compelling results and next-generation te chn ologies, we can provide an incredible opportunity to generate tangible impact in national defense. Empower change with us. You Have: * 5+ years of experience in the data science field, including providing analysis and advice * 2+ years of experience with Python or R * 2+ years of experience with statistics and predictive modelling * Knowledge of ETL pipelines, data transformation and data reduction / manifold te chn iques * Knowledge of feature engineering to support statistical modeling workflows * Knowledge of dimensionality reduction te chn iques, including PCA, NMF, and t-SNE, as well as their use-cases * TS / SCI clearance * Bachelor''s Degree Nice If You Have: * Experience in the intelligence community c ond ucting all-source intelligence * Experience with local computer clusters, including Dask or equivalent * Experience in working with and applying NLP models * Experience with the preparation and development of senior leadership level background papers, reports, and speeches * Experience with visualizing data and producing high quality graphs and charts via Matplotlib, seaborn, ggplot, or equivalent framework * Knowledge of so cia l sciences, quantitative historical analysis * Knowledge of feature selection for so cia l statistics models * Knowledge of model explainability and how transformation / modeling te chn iques can impact explainability * Ability to learn new programming languages * 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. Build Your Career: At Booz Allen, we know the power of analytics and we''re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you''ll have the chance to: * access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splu nk * change the world with the Data Science Bowl-the world''s premier data science for so cia l good competition * participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute ( DLI ) training to the federal government We''re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law. LI-AH1

Created: 2026-04-04