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# SENIOR DATA SCIENIST | Python | Scala | AWS | NLP / ML

- **Company:** Kforce Inc.
- **Location:** Huntsville, AL, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Cyber Security, Continuous Integration, Data Mining, Distributed Data Store, Intelligence Analysis, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Named Entity Recognition, Performance Tuning, Azure Machine Learning, Scala (Programming Language), Unstructured Data, Feature Engineering, Deep Learning, Gitlab, Git, Information Technology, Machine Learning Operations, Text Analysis, Software Version Control, Data Pipelines
- **Published:** July 23, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9050681/senior-data-scienist-python-scala-aws-nlp-ml

## About the Role

Active Top Secret Clearance
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
7+ years of experience supporting Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics initiatives
Strong proficiency with Python
Experience developing analytics or ML solutions using Java and/or Scala
Experience working within AWS cloud environments
Strong experience with Natural Language Processing (NLP) methodologies and tools
Experience applying statistical techniques to evaluate, validate, and optimize machine learning models
Experience with supervised and unsupervised machine learning algorithms
Experience utilizing Git and GitLab for source control and CI/CD processes
Experience deploying and supporting ML solutions in production environments
Strong understanding of data mining, statistical analysis, and predictive modeling
Experience working with structured and unstructured datasets
Strong problem-solving, analytical, and communication skills
Experience working within Agile development environments, Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, or related discipline
Experience supporting FBI, DoD, Intelligence Community, or national security programs
Experience with AWS AI/ML services
Experience building MLOps pipelines and automated model deployment solutions
Experience working with large-scale distributed data platforms
Experience with deep learning frameworks and advanced NLP architectures
Experience developing cloud-native analytics solutions
AWS, Machine Learning, or Data Science certifications

## Description

Kforce is seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, machine learning, artificial intelligence, and data-driven decision-making in support of national security operations.

This position will leverage large and complex datasets to develop predictive models, perform advanced statistical analysis, and build machine learning solutions that provide actionable intelligence to mission stakeholders. The ideal candidate possesses deep experience with Python, Java, Scala, AWS, Natural Language Processing (NLP), Machine Learning, and statistical model evaluation techniques.

You will work alongside data engineers, software developers, cloud architects, and mission teams to deploy scalable AI/ML solutions that directly support critical federal initiatives., Design, develop, and deploy machine learning and artificial intelligence solutions supporting mission requirements
Analyze large structured and unstructured datasets to identify trends, patterns, and operational insights
Develop predictive models and advanced analytics solutions using Python, Java, and Scala
Build and optimize Natural Language Processing (NLP) capabilities for text analytics, entity extraction, classification, and language modeling
Evaluate machine learning model performance using advanced statistical techniques and validation methodologies
Develop, test, and deploy ML models in AWS cloud environments
Collaborate with Data Engineers to support scalable data pipelines and processing frameworks
Utilize Git and GitLab for source control, version management, and CI/CD workflows
Automate model deployment and lifecycle management using modern DevOps and MLOps practices
Conduct feature engineering, model tuning, and performance optimization activities
Develop analytical visualizations and reports supporting technical and non-technical stakeholders
Document methodologies, algorithms, and model performance metrics
Support Agile development efforts and contribute to continuous improvement initiatives
Present technical findings and recommendations to program leadership and mission partners


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