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Senior Lead Data Scientist

ExecutivePlacements.com

Salary not specified
Nov 16, 2025
Pittsburgh, PA, United States of America
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Omnicell is looking to develop cutting-edge AI/ML for their solutions by setting the vision and technical strategy for AI/ML initiatives, overseeing the design, development, and deployment of AI/ML models and systems, and ensuring innovative AI/ML are being developed to transform the industry.

Requirements

  • 6+ years of experience in various AI/ML techniques, such as deep learning, natural language processing, recommender systems, reinforcement learning, large language models (LLM), etc.
  • 6+ years of experience with AI/ML frameworks and tools, such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc.
  • Experience with cloud platforms and services, such as AWS, Azure, GCP, etc.
  • Experience with generative AI and LLMs.
  • Proficient experience in Python, R, or other programming languages for data analysis and AI/ML development.
  • Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.

Responsibilities

  • Develop and implement AI and machine learning strategies from ideation to deployment
  • Utilize deep learning, NLP, computer vision, and other AI techniques to enhance model performance.
  • Ensure model interpretability, fairness, and compliance with data governance policies.
  • Mentor junior data scientists and contribute to the overall data strategy.
  • Collaborate with Innovation team and other engineering leaders on the AI strategy and efforts.
  • Experience in establishing and enforcing AI/ML best practices, standards, and ethics
  • Experience with generative AI and LLMs.

Other

  • Balancing deep subject matter expertise in AI/ML with multiple business use cases.
  • Accountable for delivering and scaling AI.
  • Proven ability to developing solutions that transform the industry.
  • Proven experience with communication, presentation, and interpersonal skills, and the ability to explain complex AI/ML concepts and results to technical and non-technical audiences
  • Experience in working with cross-functional and distributed teams in a global and diverse environment