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# Data Scientist, Mid

- **Company:** BOOZ, ALLEN & HAMILTON, INC.
- **Location:** McLean, VA, United States
- **Experience:** Experienced
- **Salary:** $99,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Signals Intelligence, Extract Transform Load (ETL), Data Visualization, DevOps, Distributed Data Store, Geospatial Intelligence, Github, R (Programming Language), Revision Control Systems, Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), Machine Learning, MySQL, NoSQL, Open Source Intelligence, Power BI, Tensorflow, SQL Databases, Tableau (Software), Data Storage Technologies, Pytorch, Large Language Models, Apache Spark, Deep Learning, Electronic Medical Records, Generative AI, Keras, Gitlab, Git, Plotly, Apache Kafka, Free and Open-Source Software, Bitbucket, Kibana, Jenkins
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/c1b86160-ea94-4d7d-aae2-87d5be1b266a/data-scientist-mid

## About the Role

* 2+ years of experience using data science programming languages such as Python or R
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 * Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
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 * Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
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 * Knowledge of statistical analysis, predictive modeling, and machine learning methods
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 * Ability to design and develop automated analytic software, techniques, and algorithms
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 * Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
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 * Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI
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 * Active TS/SCI clearance; willingness to take a polygraph exam
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 * Bachelor's degree
\n, * Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines
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 * Experience with intelligence or operations analysis in the DoD or Intelligence Community
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 * Experience developing and implementing ontological frameworks
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 * Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
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 * Experience working with Deep Learning and AI frameworks, including PyTorch, TensorFlow, and Keras
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 * Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)
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 * Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
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 * Experience with visualization packages, including Plotly, Seaborn, or ggplot2
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 * Knowledge of DevOps, including CI/CD pipelines and Jenkins
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