Data Scientist, Computer Vision; Lynchburg, VA,

Position: Data Scientist, Computer Vision (Lynchburg, VA, US)
At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.

-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers.

Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit  Follow us on Linked In, X, Facebook and Instagram.

Welcome to BWXT We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you're an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We required a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.

BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced (Use the "Apply for this Job" box below). researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers. If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.

Position Overview:

BWXT Advanced Technologies is seeking a Data Scientist, Computer Vision (Classification & Deep Learning) to design, train, evaluate, and product ionize image classification models that power critical decisions across our products and operations. You will own datasets, modeling, and deployment for robust, scalable visual classification-delivering measurable accuracy, reliability, and latency improvements.

Location:

This position is based on-site in Lynchburg, VA at the Advanced Technologies Office. Your Day to Day as a Data Scientist, Computer Vision:
* Lead end to end Computer Vision classification: problem definition, dataset creation, experiment design, model training, evaluation, deployment, and monitoring.
* Develop modern deep learning models using CNNs (Res Net/Efficient Net) and Vision Transformers (ViT/Swin), leveraging transfer learning, fine tuning, and self /weakly supervised methods as appropriate.
* Handle imbalanced/noisy/multi label data with class aware sampling, focal/cost sensitive losses, label smoothing, and advanced augmentations (Rand Augment, Mix Up, Cut Mix).
* Establish rigorous evaluation: precision/recall, F1, ROC/PR AUC, calibration, confusion analysis, per class metrics, subgroup fairness, and stress testing for lighting, occlusion, motion blur, and device variation.
* Build data & experiment pipelines: image ingestion, labeling QC, dataset versioning and experiment tracking with automated reproducibility.
* Production operations: deploy services, implement drift detection and alerting, schedule retraining, support A/B tests and human in the loop review.
* Cross functional collaboration with data engineering, product, operations, and quality to integrate outputs into workflows and dashboards.

Required Qualifications:

* A bachelor's degree in computer science, electrical engineering, physics, or related field is required. *

A minimum of six (6) years of building and deploying computer vision classification models in production or related work experience is required.
* Must have strong experience with PyTorch (preferred) or Tensor Flow/Keras; along with proficiency in Python (Num Py/Pandas); and familiarity with scikit learn for baselines and metrics.
* Must have hands on with OpenCV, torch vision/timm, albumentations; image pre /post processing and dataset curation.
* Must have demonstrated expertise with CNNs & Vision Transformers, transfer/self supervised learning (e.g., SimCLR/MoCo/DINO/MAE), mixed precision training, and training efficiency.
* Must have experience exporting and serving models (ONNX, Tensor

RT/OpenVINO), containerization (Docker), and CI/CD for ML services.
* Must be able to communicate effectively and translate model results into actionable product/operations insights.
* Must have a deep understanding of image classification theory and practice: loss functions, optimization, augmentation, calibration, and thresholding.
* Must have strong…