Website Johnson & johnson
Principal Data Scientist – Johnson & Johnson Services, Inc.
Company: Johnson & Johnson Services, Inc.
Organization: HR Data & Intelligence (Data Analytics & Computational Sciences)
Role Level: Principal Data Scientist (Individual Contributor / Technical Authority)
Location: Bengaluru, Karnataka, India (Full-time, up to 10% travel)
Industry: Healthcare, Pharmaceuticals, MedTech & Enterprise AI
Core Tech Stack: Python, Databricks, Machine Learning Frameworks, Predictive & Prescriptive Modeling, Feature Engineering, MLOps, Responsible AI / Model Governance
About Johnson & Johnson HR Data & Intelligence
HR Data & Intelligence operates at the core of Johnson & Johnson’s global enterprise ecosystem, architecting the intelligence layer that powers workforce planning, talent engagement, and decision automation across a global workforce of 125,000+ employees. The unit builds production-grade AI engines and decision systems that blend advanced predictive analytics, employee listening signals, and responsible AI frameworks.
Role Overview
Johnson & Johnson is recruiting a Principal Data Scientist in Bengaluru to architect, build, and operationalize predictive and prescriptive models for intelligent HR workflows at enterprise scale.
In this technical leadership role, you will design model-driven solutions for consumption by both automated systems and business leaders. You will create machine-facing interfaces (features, signals, APIs) and explainable human-facing interfaces embedded into enterprise HR platforms, ensuring model fairness, privacy, and responsible AI compliance.
Key Responsibilities
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Predictive & Prescriptive Modeling: Design, build, and deploy production ML models generating decision logic, feature signals, and recommendations for workforce workflows.
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End-to-End Operationalization: Embed predictive intelligence into production platforms and APIs, establishing continuous model monitoring, drift detection, and automated retraining.
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Technical Authority & Governance: Define enterprise standards for model governance, explainability (XAI), algorithmic fairness, data privacy, and ethical AI across human and machine decision paths.
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Platform & Product Collaboration: Partner with data engineering, product management, and UX design teams to build cohesive intelligence platforms using Databricks.
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Problem Framing & Systems Design: Translate unstructured, ambiguous workforce challenges into structured, scalable ML frameworks, establishing when decisions should be automated, augmented, or human-controlled.
Required & Preferred Qualifications
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Required Qualifications:
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Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a quantitative discipline.
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Experience: 5+ years of hands-on experience building, deploying, and maintaining predictive/ML models in production settings.
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Technical Stack: Deep proficiency in Python, modern ML libraries (
scikit-learn,PyTorch,TensorFlow), feature engineering pipelines, and MLOps principles. -
Responsible AI: Demonstrated expertise in model explainability, algorithmic fairness, and data privacy governance.
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Preferred Qualifications:
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Advanced degree (Master’s or Ph.D.) in a quantitative field.
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Hands-on experience with the Databricks platform (MLflow, notebooks, workflows, Delta Lake).
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Prior domain experience in HR analytics, workforce planning, or organizational network analysis.
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Role Summary
| Attribute | Details |
| Job Title | Principal Data Scientist |
| Company | Johnson & Johnson Services, Inc. |
| Team | HR Data & Intelligence |
| Location | Bengaluru, Karnataka, India |
| Required Experience | 5+ Years in Production ML / Data Science |
| Core Stack | Python, Databricks, Predictive Modelling, MLOps, Responsible AI, APIs |
To apply for this job please visit remotejobhiring.com.