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# Sr. Data Scientist

- **Company:** Glint Tech Solutions LLC
- **Location:** Reston, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Unit Testing, Big Data, Health Informatics, Cluster Analysis, Extract Transform Load (ETL), Data Mining, Data Structures, Data Visualization, Database Queries, Distributed Systems, R (Programming Language), Apache Hadoop, Apache Hive, SPSS (Software), Python (Programming Language), MATLAB, Machine Learning, NumPy, Software Prototyping, SAS (Software), Software Deployment, Stata, Random Forest, Apache Spark, Deep Learning, Pandas, Scikit Learn, Production Code, Virtual Agents, Unsupervised Learning
- **Published:** July 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dd979a0715c09dce

## About the Role

* 8+ years of experience as a Data Scientist with both model building and deployment experience
 * Advanced Python and SQL proficiency
 * Advanced proficiency in Python and Spark/Scala for statistical analysis, data modeling, ML, and ETL processes
 * Intermediate to advanced data visualization skills using Python
 * Solid hands-on knowledge of AWS SageMaker, Bedrock, Kendra, and Lambda (required)
 * Ability to write production-ready code including documentation and unit tests
 * Experience with ML methods including k-nearest neighbors, random forests, and ensemble methods
 * Strong AI/ML expertise across Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling, and Clustering
 * Deep knowledge of machine learning fundamentals, data mining, and statistical predictive modeling
 * Proficiency with Python ML and data pre-processing libraries - Scikit-Learn, NumPy, Pandas
 * Strong software prototyping and engineering skills across Python, R, and Spark/Scala
 * Ability to initiate and drive projects to completion with minimal guidance
 * Strong communication skills for presenting analysis results clearly and effectively
 * Degree preferred; 4 additional years of experience may substitute for a degree

Nice-to-Have Skills

 * Experience with Agentic AI
 * Familiarity with statistical packages such as R, MATLAB, SPSS, SAS, or Stata
 * Proficiency with healthcare analytics and data structures
 * Experience with big data technologies, ETL, statistics, causal inference, and simulation
 * Experience with large data sets and distributed computing (Hive/Hadoop)
 * Prior experience leading data science projects or teams independently

## Description

* Identify and solve complex business problems using statistical modeling, machine learning, AI, operations research, and data mining techniques
 * Own high-impact data science projects end-to-end, from inception through production deployment
 * Lead and coordinate the efforts of other data scientists contributing to shared projects
 * Build, train, and deploy ML solutions using AWS services including SageMaker, Bedrock, Kendra, and Lambda
 * Write production-ready code including proper documentation and unit tests
 * Apply advanced machine learning methods including k-nearest neighbors, random forests, and ensemble methods
 * Communicate across product teams and with customers to educate on AI, ML, and statistical models
 * Refine product requirements in collaboration with Product teams and interface with stakeholders across departments


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