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Sr Data Scientist Fort Worth, TX - Hybrid LOCALs​/No , No .C

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: Prudent Technologies and Consulting, Inc.
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Full time:  Sr Data Scientist ||  Fort Worth, TX - Hybrid ||  **LOCALs Only  //  No H.1s, No C.2.C

Onsite T, W, Th (Local candidates are strongly preferred)

Experience

Required:

7+ years of professional Data Science / Applied ML experience

Summary:

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, Tensor Flow, 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.

Education:

Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field

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