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.
As a Senior Data Scientist, you will 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.
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.
Tagged as: Life Sciences
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