SENIOR DATA Scienist | Python | Scala | AWS | NLP​/ML Security Clearance

Position: SENIOR DATA SCIENIST | Python | Scala | AWS | NLP / ML with Security Clearance
One Round Interview / Faster Offers!
Start in 3–4 Weeks
Senior Data Scientist – TS Cleared

Location:

Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours) Clearance:
Active Top Secret Required

Employment Type:

W2 Consultant (Kforce) Benefits:
Medical, Dental, Vision, 401(k), and more Apply Now! Contact Recruiter:
Brenton Anderson Email:
Linked In:  Senior Data Scientist – TS Cleared
Overview 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.

Key Responsibilities
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 Git Lab for source control, version management, and CI/CD workflows
Automate model deployment and lifecycle management using modern Dev Ops 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

Required Qualifications
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 Git Lab 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

Preferred Qualifications
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,…