Principal Data Scientist

Johnson & Johnson Services, Inc. is recruiting for a Princip al Data Scientist located in Bangalore , India .

Caring for the world, one 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 only 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 only 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.

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

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.

This position is located in 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.