Senior Lead Data Scientist

mnicell is a healthcare technology company that provides automation systems for medication management in healthcare settings and pharmacies. As an Omnicell Senior Data Scientist in the Data Platform engineering team, you will lead several initiatives with talented engineers and data science efforts in developing cutting-edge AI/ML for Omnicell solutions. You will be responsible for setting the vision and technical strategy for our AI/ML initiatives, as well as overseeing the design, development, and deployment of AI/ML models and systems. You will also collaborate with other senior leaders, stakeholders, and customers to ensure innovative AI/ML are being developed. Balances deep subject matter expertise in AI/ML with multiple business use cases. Accountable for delivering and scaling AI. The ideal candidate will be an AI thought leader and with proven ability to developing solutions that transform the industry. W

e are looking for someone with proven and extensive track record of delivering AI solutions in data-driven products, armed with solid drive, ownership, and hands-on technical leadership & expertise to ensure successful delivery of customer outcomes. R

esponsibilities D

• evelop and implement AI and machine learning strategies from ideation to deployment S
• tay up-to-date with the latest AI and machine learning technologies and trends D
• evelop and maintain solid relationships with stakeholders, customers, and partners internally and externally E
• vangelize 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 B
• e a hands-on leader who is willing to dive deep as and when needed. I
• dentify opportunities for technology advancements and drive innovation in development. U
• tilize deep learning, NLP, computer vision, and other AI techniques to enhance model performance. E
• nsure model interpretability, fairness, and compliance with data governance policies. M
• entor junior data scientists and contribute to the overall data strategy. C
• ollaborate with Innovation team and other engineering leaders on the AI strategy and efforts. P
• roven experience with communication, presentation, and interpersonal skills, and the ability to explain complex AI/ML concepts and results to technical and non-technical audiences E
• xperience in working with cross-functional and distributed teams in a global and diverse environment E
• xperience in establishing and enforcing AI/ML best practices, standards, and ethics P
• roven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism R

equired Knowledge and Skills P

• roven experience with communication, presentation, and interpersonal skills, and the ability to explain complex AI/ML concepts and results to technical and non-technical audiences E
• xperience in working with cross-functional and distributed teams in a global and diverse environment E
• xperience in establishing and enforcing AI/ML best practices, standards, and ethics P
roven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism

• B

asic Qualifications 1

• 2 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. E
• xperience with cloud platforms and services, such as AWS, Azure, GCP, etc. E
• xperience with generative AI and LLMs. E
• xperience in mentoring, coaching, and developing AI/ML talent D
• emonstrated passion for learning and staying updated with the latest AI/ML trends and research E
• xperience leading and managing AI/ML teams and projects, from ideation to delivery and evaluation P
• roficient experience in Python, R, or other programming languages for data analysis and AI/ML development H
• ave a can-do attitude and make a positive impact our culture. A
lways put the customer first.

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referred Qualifications B

• ackground in Healthcare AI P
• ortfolio of AI/ML publications, patents, or awards E
• xperience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. W

ork Conditions O

• n-site environment A
bility to travel 10-15% of the time.

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ocation: P