Principal 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. Learn 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.

• Job Function:

Data Analytics & Computational Sciences

• Job Sub Function:

Data Science

• Job Category:

Scientific/Technology

• All Job Posting Locations:

Bangalore, Karnataka, India, Pune, Maharashtra, India

• Job Description:

Johnson & Johnson Services, Inc. is recruiting for a

Principal Data Scientist

located in Pune, India or Bangalore, India.

Caring for the world, person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science—bringing innovative ideas, products and services to advance the health and well-being of people.

With a global footprint spanning more than 250 operating companies and a workforce of over 125,000 employees, Johnson & Johnson is uniquely positioned to lead the future of health—and the future of work. If you have the talent and ambition to shape how organizations understand, enable, and support their people at scale, Johnson & Johnson offers the opportunity to make a lasting impact.

Thriving on a diverse company culture, we celebrate the uniqueness of our employees and are committed to inclusion. Johnson & Johnson is proud to be an equal opportunity employer.

HR Data & Intelligence sits at the heart of Johnson & Johnson’s HR Digital ecosystem, architecting the intelligence layer that shapes how the company understands, engages, and mobilizes its global workforce. This organization builds and operationalizes enterprise-scale data, analytics, and AI capabilities that do more than inform decisions—they reshape how HR plans, predicts, personalizes, and performs. By unifying data science, employee listening, knowledge management, and responsible AI, HR Data & Intelligence is transforming workforce signals into strategic advantage, ensuring HR is not insight-led and future-ready, but a trusted steward of ethical, human-centered intelligence at scale.

As a

Principal Data Scientist

, you will design, build, and operationalize predictive and prescriptive models that power Johnson & Johnson’s intelligent HR workflows at global scale. This role is responsible for creating model‑driven solutions intentionally designed for consumption by both humans and machines—from AI‑enabled decision engines and automation to explainable insights embedded in leader and HR experiences.

You will work at the intersection of advanced analytics, applied AI, and HR domain expertise, ensuring workforce intelligence is not accurate and scalable, but actionable, ethical, and trusted. Your work will move beyond insight delivery to directly shaping how decisions are made, automated, and continuously improved across the employee lifecycle.

Key Responsibilities

• Design, build, and operationalize predictive models that generate signals, features, and recommendations consumed directly by intelligent systems and decision workflows, as well as by humans through explainable, experience‑led interfaces.

• Enable end‑to‑end intelligent workflows by embedding predictive intelligence into products, platforms, and processes—ensuring models are deployed, monitored, and continuously improved in production rather than delivered as standalone analyses.

• Act as a technical authority for model‑driven data products, contributing to how intelligence is created, validated, governed, and consumed across both human‑led and machine‑led decision paths.

• Partner with product, engineering, and experience teams to ensure human‑facing experiences and machine‑facing interfaces (signals, features, APIs) are designed together as a single, coherent system.

• Adhere to enterprise standards and practices for model explainability, fairness, privacy, and responsible AI, ensuring predictive solutions are trustworthy, auditable, and appropriate for use at global scale.

• Translate ambiguous, complex business problems into scalable analytical and modeling frameworks, guiding when decisions should be automated, augmented, or explicitly human‑controlled.

Qualifications

• Required:

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field

• 5+ years of experience designing, building, and deploying predictive or machine-learning models in production environments, where outputs are consumed by systems, workflows, applications, and end users

• Strong proficiency in modern data science and ML tooling (e.g., Python, ML frameworks, feature engineering, model evaluation), with a clear understanding of how models move from experimentation to operational use

• Demonstrated ability to think in terms of signals, features, and decision logic, and to design models that integrate cleanly into automated or augmented decision workflows

• Experience working on complex, scaled data environments, collaborating closely with engineering, product, and platform teams to deliver durable, production-ready solutions

• Working knowledge of model explainability, fairness, privacy, and responsible AI practices, and the discipline to apply enterprise standards consistently when building and deploying models

• Strong problem-framing skills, with the ability to translate ambiguous business or system challenges into well-structured modeling approaches without relying on prescriptive requirements

• Preferred:

• Experience working within the Databricks data science and analytics platform, including developing, training, and operationalizing models using Databricks notebooks, workflows, and integrated ML capabilities.

• Prior experience applying data science or machine learning in an HR or workforce‑related domain, with an understanding of HR data structures, constraints, and decision contexts (e.g., employee data, organizational structures, lifecycle events).

• Advanced degree (Master’s or PhD) in a quantitative field or equivalent depth of experience solving complex modeling problems in real‑world, production settings.

• Experience building intelligence that supports automated or semi‑automated decisioning, recommendations, or optimization in large, distributed organizations.

• Familiarity with deploying models alongside APIs, data products, or platforms where humans and machines interact with the same underlying intelligence.

• Other:

This position is located in Pune, India or Bangalore, India full-time and may require up to 10% travel, both domestic and international.

Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.

• Required Skills: Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field
• Experience working within the Databricks data science and analytics platform, including developing, training, and operationalizing models using Databricks notebooks, workflows, and integrated ML capab