Principal Data Scientist
Listed on 2026-02-05
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IT/Tech
AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, and solutions are personal.
Through our expertise in Innovative Medicine and Med Tech, 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 humanity.
Learn more at
Data Analytics & Computational Sciences Job Sub Function:
Data Science Job Category:
Scientific/Technology All Job Posting Locations:
Job Description:
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 VisionFueled by innovation at the intersection of biology and technology, we’re 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 that’s 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 patient’s lifetime.
Your unique talents will help patients on their journey to wellness. Learn more at
About the RoleWe 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 managementRequired Qualifications
Master’s Degree / PhD + 4 years’ experience, OR Bachelor’s 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 frameworksStrong foundation in statistics, optimization, and algorithm design.
Hands-on experience with Dataiku or similar AI/analytics platforms such as Databricks, Sage Maker, 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…
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