Senior Lead Data Scientist

Omnicell; Pittsburgh (Allegheny County); On-site; USD 110,000 - 150,000; Full time

Job summary

A leading healthcare technology company in Pittsburgh is seeking a Senior Data Scientist to lead AI and machine learning initiatives. You will orchestrate cutting-edge solutions for medication management and need to possess a minimum of 12 years in engineering or data science, alongside extensive experience in AI/ML techniques. The role demands a customer-focused approach and a collaborative spirit within teams. On-site position with travel requirements of 10-15%.

Qualifications

• 12+ years of experience in Software Engineering, Data Science, AI, or Analytics.
• 6+ years of experience in various AI/ML techniques such as deep learning, NLP.
• Experience mentoring and developing AI/ML talent.

Responsibilities

• Develop and implement AI and machine learning strategies from ideation to deployment.
• Stay updated with the latest AI and machine learning technologies.
• Mentor junior data scientists and contribute to the overall data strategy.

Skills

Communication skills

Interpersonal skills

Analytical skills

Problem-solving skills

Team collaboration

Tools

MLFlow

TensorFlow

PyTorch

Keras

Scikit-learn

AWS

Azure

GCP

Python

R

Job description

Overview

Omnicell 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. Balance deep subject matter expertise in AI/ML with multiple business use cases and deliver and scale AI. The ideal candidate will be an AI thought leader with proven ability to develop solutions that transform the industry.

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 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
• Communicate and present complex AI/ML concepts and results to technical and non-technical audiences
• Work with cross-functional and distributed teams in a global and diverse environment
• Establish and enforce AI/ML best practices, standards, and ethics
• Demonstrate solid analytical, problem-solving, and decision-making skills with the ability to balance innovation and pragmatism

Required Knowledge And Skills

• 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 analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism

Basic Qualifications

• 12+ years of experience in Software Engineering, Data Science, AI, or Analytics
• 6+ years of experience in various AI/ML techniques (e.g., deep learning, NLP, recommender systems, RL, LLMs)
• 6+ years of experience with AI/ML frameworks and tools (e.g., MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn)
• Experience with cloud platforms and services (e.g., AWS, Azure, GCP)
• 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 in Python, R, or other programming languages for data analysis and AI/ML development
• Customer-focused attitude and positive impact on culture

Preferred Qualifications

• Background in Healthcare AI
• Portfolio of AI/ML publications, patents, or awards
• Experience with DevOps and CI/CD tools and practices (e.g., Git, Jenkins, Docker, Kubernetes)

Work Conditions

• On-site environment
• Ability to travel 10-15% of the time

Location

• Pittsburgh - Cranberry Office

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Hospitals and Health Care