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# Solutions Architect

- **Company:** Booz Allen Hamilton Inc.
- **Location:** San Antonio, TX, United States
- **Experience:** Expert
- **Salary:** $99,000 - $225,000
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Computing Platforms, HTML5, Computer Engineering, Data Files, Data Visualization, Elasticsearch, Fraud Prevention and Detection, R (Programming Language), Design of User Interfaces, Apache Hadoop, MapReduce, Python (Programming Language), Machine Learning, MongoDB, Natural Language Processing, Node.Js, Tensorflow, Cloudera, Software Engineering, Tableau (Software), Unstructured Data, Web Applications
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/solutions-architect-san-antonio-tx--55360088-42aa-4612-a151-9e2e02ee1695

## About the Role

Internet of Things, Artificial Intelligence (AI), Cancer, Machine Learning, Data Sets, Data Science, Unstructured Data, Structured Data, Automation, Mentoring, * 10+ years of experience in Software Engineering

 * Experience with applying advanced analytic techniques, including natural language processing and machine learning
 * Experience with building data products using any open source programming languages, including Python, R, TensorFlow, and ElasticSearch
 * Experience with scaling data products across distributable computing environments, including Hadoop, MapReduce, or MongoDB
 * Experience with visualization tools, including Cloudera, Tableau, and Gephi
 * Experience with implementing web-based user interfaces, using HTML5 and JavaScript and NodeJS
 * TS/SCI clearance
 * Bachelor's degree

Nice If You Have:

 * Master's degree in CS, Computer Engineering, Mathematics, Engineering, or a related field preferred

## Description

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 artificial 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 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.