Prudent Consulting is seeking a Senior Data Scientist to design, train, and deploy machine learning models on Dell AI Factory (Dell + NVIDIA) infrastructure. Working closely with data engineering, this role will leverage the centralized data warehouse to build production-grade ML solutions that drive measurable business outcomes. The ideal candidate brings deep applied ML expertise combined with hands-on experience in GPU-accelerated model development and deployment.

Required:

7+ years of hands-on experience in data science, applied machine learning, or advanced analytics roles.
Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
Direct, hands-on experience building and deploying models on Dell AI Factory / NVIDIA AI Enterprise GPU-accelerated infrastructure — required.
Strong foundation in statistics, machine learning algorithms, and model evaluation techniques.
Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, model registries, CI/CD for ML).
Experience working with large-scale structured and unstructured datasets sourced from enterprise data warehouses.

Preferred Skills:

Health sciences domain experience - clinical research, healthcare analytics, life sciences, or pharma ML applications
Experience with NVIDIA RAPIDS for accelerated data science workflows.
Experience with NVIDIA NeMo or Triton Inference Server for model development and deployment.
Experience with generative AI / LLM fine-tuning and deployment on NVIDIA infrastructure.
NVIDIA Deep Learning Institute (DLI) or Dell AI technology certifications.