Sr. Data Scientist
| Company | Omnicell |
|---|---|
| Location | Pittsburgh, PA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Expert or higher |
Requirements
- 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
- Experience in establishing and enforcing AI/ML best practices, standards, and ethics
- Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism
- Experience with cloud platforms and services, such as AWS, Azure, GCP, etc.
- Experience with generative AI and LLMs
- Experience in mentoring, coaching, and developing AI/ML talent
- Demonstrated passion for learning and staying updated with the latest AI/ML trends and research
- Experience leading and managing AI/ML teams and projects, from ideation to delivery and evaluation
- Proficient experience in Python, R, or other programming languages for data analysis and AI/ML development
- Have a can-do attitude and make a positive impact on our culture
- Always put the customer first
- Bachelor’s Degree in Computer Science or a related field
- 10+ years of experience in Software Engineering, Data Science, AI, or Analytics
- 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.
Responsibilities
- Develop and implement AI and machine learning strategies from ideation to deployment.
- Stay up-to-date with the latest AI and machine learning technologies and trends.
- Develop and maintain solid relationships with stakeholders, customers, and partners internally and externally.
- Evangelize the benefits of generative AI through proofs-of-concept and demos to drive adoption for employees and functional roles including technology, operations, marketing, legal, compliance, people team, internal infrastructure, and more.
- Be a hands-on leader who is willing to dive deep as and when needed.
- Identify opportunities for technology advancements and drive innovation in development.
- 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.
Preferred Qualifications
- Background in Healthcare AI
- Portfolio of AI/ML publications, patents, or awards
- Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.