Data Scientist

Overview

Location: Amarillo, TX - Pantex Plant

Job Title: Data Scientist

Career Level From: Senior Associate

Career Level To: Senior Specialist

Organization: NSE Integration Services )

Job Specialty: Service Transition

What You'll Do

A career at Pantex can offer you the opportunity to make a personal impact on our nation. We recognize that excellent employees are absolutely critical for mission success. We are seeking an advanced Data Scientist to develop, validate, and deploy statistical models and machine learning algorithms that drive mission-critical insights, operational efficiency, and advanced forecasting capabilities.

Primary duties include applying statistical methods and machine learning principles to analyze complex datasets, build predictive and prescriptive models for operational improvement, and translate high-value business problems into tangible, data-driven solutions.

Additional duties may include conducting advanced research into new Artificial Intelligence (AI)/Machine Learning (ML) techniques, collaborating with Data Engineers and Machine Learning Operations (MLOps) teams to deploy models, and presenting complex analytical findings to technical and non-technical stakeholders.

• Design, implement, and validate Machine Learning and statistical models for high-impact use cases, including predictive maintenance systems, resource optimization algorithms, and advanced forecasting.
• Design and manage the MLOps process for models, including containerization, automated testing, and deployment using MLOps platforms and CI/CD pipelines to transition models from development to a secure, live environment.
• Maintain and monitor deployed models in production, rapidly diagnosing and resolving issues, managing data drift and model drift, and retraining models to ensure sustained performance and reliability.
• Utilize advanced statistical and algorithmic techniques to perform comprehensive data analysis, identify trends, anomalies, and critical patterns in large, complex operational, safety, and financial datasets.
• Partner with business units to define problem statements, gather data requirements, and ensure the successful integration and adoption of models into existing enterprise processes.
• Develop and maintain robust, production-ready code for model training, feature engineering pipelines, and validation routines, ensuring model reproducibility and scalability.
• Ensure all models, data usage, and code comply with National Nuclear Security Administration (NNSA) security standards, data governance policies, and ethical AI principles.

• Evaluate and recommend the strategic use of emerging AI technologies, such as Large Language Models (LLMs) and Generative AI, for both mission and internal support applications.
• Collaborate closely with Data Engineers and Data Architects to prepare data infrastructure and define necessary feature stores for efficient model development and training.
• Create comprehensive technical and non-technical documentation detailing model architecture, methodology, performance results, and business impact.

• Meaningful work and unique opportunities to support missions vital to national and global security.
• Top-notch, dedicated colleagues.
• Generous pay and benefits with a stable organization.
• Work-life balance fostered through flexible work options and wellness initiatives.

• Bachelor’s degree (BS) in engineering/science discipline with minimum 2 years of relevant experience; typical engineering/science experience ranges from 3 to 7 years.
• OR applicants without a bachelor's degree may be considered based on a combination of at least 10 years of completed education and/or relevant experience.

• Not Applicable

• At least 1 year focused on applying data science techniques, machine learning, and managing model deployment in a production setting.
• Proficiency in statistical programming languages such as Python or R, and experience in libraries (e.g., scikit-learn, PyTorch, Tensor Flow).
• Experience with MLOps, including model…