AI and ML Engineer and Data Scientist
Listed on 2026-10-16
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, Data Analyst, AI Engineer (Applied/Software)
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 machine learning and artificial intelligence. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information and help solve challenges facing decision-makers in the special operations community.
Job Number: R0250643
AI and ML Engineer and Data Scientist
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 machine learning and artificial intelligence. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information and help solve challenges facing decision-makers in the special operations community.
On our team, you’ll use your expertise to support intelligence professionals conducting intelligence operations in support of the nation’s most critical missions. You’ll work closely with clients to understand their needs and use your knowledge to shape the modernization of support to special operators across the globe. You’ll guide the team 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.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
- 5+ years of experience in data science or machine learning engineer roles
- Experience with Python or ETL
- Experience using open-source geospatial data to build and tune geographic computer models
- Experience creating 3D computer models of locations, including indoor and outdoor locations
- Experience selecting, training, evaluating, and tuning machine learning or deep learning algorithms
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Top Secret clearance
- HS diploma or GED
- Experience supporting special operations or intelligence communities
- Experience in the development of algorithms leveraging R or SQL
- Experience with distributed data and computing tools, including Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Top Secret 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, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range…
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