Principal Data Scientist

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

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We are currently recruiting for Principal Data Scientist based in Jacksonville FL Raritan NJ Spring House PA Irvine CA or any other J&J East Coast locations.

About Vision

Fueled by innovation at the intersection of biology and technology were developing the next generation of smarter less invasive more personalized treatments.

Are you passionate about improving and expanding on the possibilities of vision treatments Ready to join a team thats reimagining how vision is improved Our Vision team solves the toughest health challenges. Help combine cutting-edge insights science technology and people to encourage eye care professionals and patients to proactively protect correct and enhance healthy sight for life. Our products and services address these needs from the pediatric to aging eye in a patients lifetime.

Your unique talents will help patients on their journey to wellness. Learn more at the Role

We are seeking a highly skilled and innovative Principal Data Scientist to design develop and deploy AI solutions that span both discriminative and generative AI methods.

In this senior role you will serve as a technical leader and hands-on contributor working closely with business stakeholders data engineers and platform teams to solve complex problems with advanced machine learning and AI techniques. You will drive projects from ideation through deployment ensuring solutions are scalable compliant and aligned with best practices in responsible AI.

The Principal Data Scientist will:

• Design and implement end-to-end AI solutions using both discriminative (e.g. classification regression etc.) and generative (e.g. LLMs content synthesis etc.) approaches.
• Select appropriate algorithms and architectures balancing accuracy interpretability and performance.
• Build proof-of-concept models and scale them into production-ready solutions.
• Integrate LLM APIs and RAG pipelines where applicable leveraging enterprise-approved tools and platforms.
• Partner with stakeholders to translate business objectives into clear problem statements and AI solution design.
• Work with data engineers to ensure pipelines and data sources are optimized for AI workloads.
• Collaborate with data governance teams to ensure models are developed and deployed in compliance with privacy security and ethical AI standards.
• Use Dataiku (or similar platforms) to accelerate solution development experimentation and deployment.
• Contribute to reusable templates workflows and best practices for AI/ML delivery.
• Stay informed on emerging AI methods tools and frameworks advising on strategic adoption for the organization.
• Perform other related tasks as assigned by management

Required Qualifications

• Masters Degree / PhD 4 years experience OR Bachelors Degree 6 years experience
• Educational degree in quantitative field such as Statistics Mathematics Computer Science Data Science Engineering Economics and/or related quantitative
• Expertise in both discriminative and generative AI approaches including deep learning architectures.
• Proficiency in Python and common ML frameworks
• Strong foundation in statistics optimization and algorithm design.
• Hands-on experience with Dataiku or similar AI/analytics platforms such as Databricks SageMaker or Vertex AI
• Experience with cloud platforms (Azure AWS or GCP) for AI/ML workloads.
• Ability to communicate complex technical concepts to non-technical audiences.
• Ability to travel both domestically and internationally may be required (5-10%).
• Ability to flex hours to accommodate multiple time zones when necessary.

Preferred Qualifications

• Familiarity with data governance frameworks and model risk management practices.
• Knowledge of MLOps concepts and tools for model monitoring CI/CD and automated retraining.
• Experience working in large matrixed organization with Global footprint

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The anticipated base pay range for this position is :

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