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# Senior Data Scientist

- **Company:** Blu Omega
- **Location:** Arlington, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, Big Data, Cloud Storage, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Python (Programming Language), Machine Learning, Power BI, Tableau (Software), Unstructured Data, Supervised Learning, Data Lakes, Data Analytics, Qlikview, Serverless Computing
- **Published:** September 4, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9143249/senior-data-scientist

## About the Role

Clearance: Ability to obtain and maintain a Public Trust suitability determination, * 4+ years of experience in custom AI training (supervised and unsupervised) and NLP focusing on unstructured data

 * 5+ years of expertise with at least one analytical/statistical language (Closure, Scala, Python, R)
 * 2+ years of experience manipulating unstructured data from various platforms
 * 2+ years of experience with data visualization tools (Elastic X-Pack, Power BI, Tableau, Qlik)
 * Bachelor's Degree or equivalent experience; educational background in Data Science is desirable, * Experience designing and validating neural networks, decision trees, or surrogate models
 * Knowledge of cloud storage solutions and serverless computing environments for large data handling
 * Experience working with government data and compliance standards

## Description

Blu Omega is seeking a Sr Data Scientist to support a federal program focused on data analytics. This role operates within a remote environment and is responsible for supporting AI initiatives, machine learning, data analysis, and data modeling across mission-critical projects. The position requires experience leading complex data science projects within a government or mission-driven environment., * Support AI, including machine learning, to analyze data for accuracy, relevance, and intelligence gaps

 * Develop and evaluate innovative investigative, statistical, and predictive data models
 * Interpret data from multiple sources using techniques such as statistical analysis and data mining
 * Prepare large datasets, implement data models, and develop databases for business solutions
 * Lead technical projects involving state-of-the-art data science methodologies
 * Deploy and manage statistical, unsupervised, and supervised learning models with high accuracy and sensitivity
 * Perform mathematical/statistical modeling to organize, optimize, and predict data
 * Validate machine learning models through statistical techniques
 * Design algorithms including neural networks, decision trees, and surrogate models
 * Use Data Lakes, serverless computing (e.g., Athena, Lambda), and ETL processes to handle storage and processing limitations


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