Data Scientist

Job Number: R0230035Data ScientistThe 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.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.This role will evaluate complex organizational data in support of the Defense Policy Review Initiative Program. It involves curating, processing, and transforming large datasets to ensure they are accurate, consistent, and suitable for program-wide analysis and decision-making. This person will independently apply the full data curation lifecycle, including assessment, cleaning, storage structuring, and optimization to enhance long-term usability. The position requires advanced data quality improvements and the development of innovative techniques to maximize the value of critical program data. You will independently work extensively with artificial intelligence technologies, including large language models, agent-based systems, and generative artificial intelligence applications. You will develop solutions using Python and modern data platforms to refine and improve complex datasets. The role also involves supporting strategies for preparing, aligning, and leveraging large program datasets to enable accurate insights and informed policy deliberations.Join us. The world can’t wait.You Have:2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining2+ years of experience with statistical and general-purpose programming languages for data analysis2+ years of experience applying comprehensive data curation processes, including assessment, cleaning, storage structuring, and advanced optimization, and evaluating organizational data to support major program analysis and decision processesExperience working with artificial intelligence, large language models, and agent-based, generative, and deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, and building and deploying models using platforms such as AWS SageMakerExperience with data visualization and statistical analysis tools commonly used in data science such as Pandas, scikit-learn, matplotlib, and SQLKnowledge of Python-based data engineering techniques and modern data platform environments such as Databricks, including building ETL/ELT pipelines, transforming large datasets using Pyspark, and automating data workflows in cloud notebookAbility to analyze structured and unstructured data sources, and develop predictive data models, quantitative analyses, and visualization to produce actionable resultsAbility to facilitate focus group meetings with various levels of stakeholders and senior leadershipSecret clearanceBachelor's degree in Data Science or Analytics and 2+ years of experience with data science, or 6+ years of experience with data science in lieu of degreeNice If You Have:2+ years of experience with the DoD or militaryExperience supporting large defense-related programs or policy review initiativesExperience with advanced automation of data cleaning and preparation workflowsExperience with modern artificial intelligence platforms and emerging generative artificial intelligence techniquesExperience supporting organizational decision-making through advanced data analysisAbility to collaborate with cross-functional teams and present technical findings to non-technical audiencesDatabricks Engineering CertificationClearance: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.CompensationAt 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 $77,500.00 to $176,000.00 (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.Identity StatementAs 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 ModelOur 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-DiscriminationAll 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.