Pantex Plant · 6 hours ago
Data Scientist
Amarillo, TX
Full-time
Onsite
Mid, Senior Level
2+ years expPantex Plant is a critical facility dedicated to national security, and they are seeking an advanced Data Scientist to develop and deploy statistical models and machine learning algorithms. The role involves analyzing complex datasets, building predictive models for operational improvement, and collaborating with teams to ensure successful model integration and deployment.
IndustrialMachinery Manufacturing
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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 Continuous Integration (CI)/Continuous Deployment (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
Qualification
Required
Bachelor's degree (BS) in engineering/science discipline: Minimum 2 years of relevant experience. Typical engineering/science experience ranging 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
The ability to obtain and maintain a Department of Energy Q clearance is required
Preferred
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 relevant machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow)
Demonstrated experience with MLOps principles, including model versioning, containerization (e.g., Docker), and deployment via cloud platforms
Demonstrated experience with Structured Query Language (SQL) and querying relational databases, as well as handling large, complex, and unstructured datasets
Master's degree (MS) or Ph.D. in a quantitative field with minimum 3 years of relevant experience
Expert proficiency in statistical programming languages such as Python or R, and deep expertise in relevant machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow)
Experience with cloud-based MLOps platforms (e.g., Datarobot, Azure ML, AWS SageMaker) and CI/CD tools for automated model pipelines
Prior domain experience in industrial optimization, predictive maintenance, or complex resource forecasting
Knowledge of big data technologies such as Spark, and familiarity with collaborative coding environments and version control (Git)
Benefits
Generous pay and benefits with a stable organization.
Work-life balance fostered through flexible work options and wellness initiatives.
Comprehensive health coverage and robust retirement planning
Opportunities for continuous learning through education reimbursement.
Company
Pantex Plant
Pantex Plant is the nation's primary facility for the final assembly, dismantlement, & maintenance of nuclear weapons.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Caleb Heltenberg
Program Manager, Technology Transfer | University and Industrial Partnerships
William Lindley, SHRM-SCP
Human Resources Business Partner
Recent News
Business Standard India
2025-10-21
U.S. Department of Energy
2025-04-04
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