Lead Data Scientist

Johnson & Johnson

Lead Data Scientist developing and deploying AI solutions for Johnson & Johnson. Collaborating to shape product-led transformation across MedTech and innovative medicine.

Posted 7/16/2026full-timeBridgewater • New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $109,000 - $174,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI/ML projects, including model development, deployment, and optimization, while providing technical leadership and mentorship. Proficient in architecting and delivering complex ML solutions and ensuring adherence to responsible AI practices and model governance.

Highest-signal resume keywords

AI/ML Project LeadershipGenerative AI ExpertisePython ProgrammingModel Deployment and MonitoringTechnical Proposal Authoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningLarge-Scale ML ModelsModel ServingAPI DevelopmentPrompt EngineeringLLM Fine-TuningMulti-Agent SystemsData ProcessingEvaluation Frameworks

Soft Skills

Excellent CommunicationInterpersonal SkillsNegotiating SkillsInfluencing Skills

Tools & Technologies

AzureLangChainLangGraphSemantic KernelAutoGenCrewAIPyTorchTensorFlowSparkSQL

Certifications & Qualifications

PhD in Data ScienceMS in Data Science

Industry Keywords

Generative AIAgentic AIModel GovernanceResponsible AI PracticesCross-Functional Projects

Tech Stack

Tools & technologies

AzureCloudPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Lead 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
Architect and deliver comprehensive ML-based solutions for highly complex, cross-functional projects that address diverse challenges and opportunities across J&J's business segments
Design, build, and deploy agentic AI systems, including multi-agent orchestration, tool-use frameworks, retrieval-augmented generation (RAG), and autonomous decision-making workflows
Conduct proof-of-concepts (POCs) and rapidly prototype ML/GenAI-based digital products aligned with business priorities across various segments and functions, translating POCs into production-grade solutions
Collaborate closely with product management, engineering, and business partners to define product vision, develop technical roadmaps, and ensure AI solutions deliver measurable business value
Provide technical leadership and mentorship to data scientists and ML engineers; conduct code reviews, model reviews, and establish best practices for the team
Author and review technical proposals, design documents, and reports; contribute to internal knowledge sharing and external thought leadership in AI/ML
Stay at the forefront of the AI/ML landscape, continuously evaluate emerging technologies (foundation models, agentic frameworks, multi-modal AI) and drive their adoption to evolve the broader Data Science team's capabilities
Establish and enforce standards for model governance, responsible AI practices, reproducibility, and documentation across the project lifecycle

Requirements

What you’ll need

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.

Benefits

Comp & perks

medical, dental, vision, life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
long-term incentive program
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