Lead Data Scientist

Lead Data Scientist

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world 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 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 humanity.

The MedTech Supply Chain Digital organization is seeking a Lead Data Scientist with strong hands-on expertise in Generative AI, LLMs, agentic AI systems, classical machine learning, computer vision, and end-to-end ML solution delivery. In this role, you will lead the design, development, and deployment of production-grade AI solutions that drive measurable business impact across J&J MedTech.

You are a highly motivated, self-directed critical thinker who excels in a fast-paced environment where rapid prototyping, iterative experimentation, and close cross-functional collaboration are the norm. You will partner with product managers, data engineers, and business leaders to shape and execute a cohesive AI/ML product strategy that accelerates product-led transformation, maximizes reusability, and delivers scalable, cost-effective solutions across J&J's integrated digital ecosystem.

If you thrive on turning ideas into working solutions quickly, enjoy collaborating across disciplines, and want to operate at the forefront of AI innovation within a global enterprise this role is for you.

You will be responsible for:

• Leading end-to-end AI/ML and GenAI projects, from business problem framing and requirements gathering through data preparation, model development, solution architecture, production deployment, and post-production monitoring and optimization
• Architecting and delivering comprehensive ML-based solutions for highly complex, cross-functional projects that address diverse challenges and opportunities across J&J's business segments
• Designing, building, and deploying agentic AI systems, including multi-agent orchestration, tool-use frameworks, retrieval-augmented generation (RAG), and autonomous decision-making workflows
• Conducting proof-of-concepts (POCs) and rapidly prototyping ML/GenAI-based digital products aligned with business priorities across various segments and functions, translating POCs into production-grade solutions
• Collaborating closely with product management, engineering, and business partners to define product vision, develop technical roadmaps, and ensure AI solutions deliver measurable business value
• Providing technical leadership and mentorship to data scientists and ML engineers; conducting code reviews, model reviews, and establishing best practices for the team
• Authoring and reviewing technical proposals, design documents, and reports; contributing to internal knowledge sharing and external thought leadership in AI/ML
• Staying at the forefront of the AI/ML landscape, continuously evaluating emerging technologies (foundation models, agentic frameworks, multi-modal AI) and driving their adoption to evolve the broader Data Science team's capabilities
• Establishing and enforcing standards for model governance, responsible AI practices, reproducibility, and documentation across the project lifecycle

Requirements / Qualifications:

Required Skills:

• PhD with 1+ years or MS with 3+ years of proven hands-on experience in data science, building and deploying large-scale ML models and systems in cloud environments (Azure preferred)
• Demonstrated expertise in LLMs, Generative AI, and agentic AI including hands on experience with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar orchestration tools
• Proven track record of deploying AI/ML solutions to production including model serving, API development, scalability considerations, and monitoring
• Strong programming skills in Python; proficiency with ML libraries (such as PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.) and data processing tools (Spark, SQL, Pandas)
• Depth and breadth in state-of-the-art agentic AI technologies, multi-agent systems, tool use, planning and reasoning architectures, memory management, and human-in-the-loop patterns
• Experience with prompt engineering, LLM fine-tuning, RAG pipelines, embedding strategies, and evaluation frameworks for generative AI solutions
• Excellent communication, interpersonal, and written skills ability to translate complex technical concepts for non-technical stakeholders; highly developed negotiating and influencing skills

Preferred Qualifications

• Experience with MLOps and DevOps workflows, CI/CD pipelines, model versioning, experiment tracking (MLflow, Weights & Biases), containerization (Docker, Kubernetes), and infrastructure-as-code
• Experience with Azure AI services, Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Cognitive Services, and related cloud-native AI tooling
• Familiarity with responsible AI frameworks, fairness, explainability, bias detection, and model governance at enterprise scale
• Experience in multi-functional projects and partnering directly with business stakeholders to drive adoption and change management
• Domain experience in Demand/Supply Planning, Manufacturing, or Supply Chain concepts and their data ecosystems
• Experience with real-time/streaming AI systems or event-driven architectures
• Publications or patents in AI/ML-related fields are a plus

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $109,000 to $174,800 USD.

Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below.