Senior Data Scientist_ Hybrid (Full-time)

Senior Data Scientist_ Onsite

Full-time/Direct Hire

Fort Worth, Texas

Required Skills & Experience:

• 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.
• Strong stakeholder communication skills, with the ability to translate complex analysis into business impact.

Preferred / Added Value Skills:

• Health sciences domain experience clinical research, healthcare analytics, life sciences, or pharma ML applications (e.g., predictive diagnostics, patient outcome modeling, regulatory-compliant AI).
• 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.

Education Requirements:

• Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field (or equivalent practical experience).