Data Scientist, Mid at Booz Allen in Alexandria, VA
- Company: Booz Allen
- Location: Alexandria, VA
- Salary: $78K – $176K
- Job type: full time
- Workplace: onsite
- Posted: 2026-09-14
Job description
Data Scientist, Mid The Opportunity: 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, you can turn these complex data sets into us eful 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 us e your leadership and analytical skills to support an intelligence community ( IC ) agency's collection and analysis operations. You’ll work closely with your c us tomer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll write scripts to integrate data, c ond uct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive models, and us e the right combination of tools to turn that set of disparate data points into objective answers to help mission partners make informed decisions. You’ll provide your c us tomer with a deep understanding of their data, what it all means, and how they can us e it. Join us as we us e data science for good in support of the IC’s global mission. Join us. The world can’t wait. You Have: 2+ years of experience in data science, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights Experience using Python to manipulate and analyze data Experience using SQL to c ond uct complex database queries Experience with communicating information to an audience with varying technical knowledge and expertise in oral or written formats TS/SCI clearance Bachelor's degree Nice If You Have: Experience us ing Apache Spark to aggregate and analyze large data sets from vario us sources Experience us ing the Joint Enterprise Modeling and Analytics ( JEMA ) framework to develop data processing workflows Experience developing Web services or Web applications us ing Python and Flask or JavaScript Experience working with AI and ML technologies and data systems Experience using data manipulation and extract, transform, and load (ETL) procedures Experience working with multiple file types, including geospatial file formats, JSON, and XML Experience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insights Knowledge of commer cia l Cloud services us ed by the IC Master's degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related te chn ical field 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. 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, k
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