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 jnj.com . 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, Gurgaon, Haryana, India Job Description:

Summary 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  jnj.com 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. As a Data Scientist on the Global Finance Data Science team, you will develop and maintain data science solutions and supporting data pipelines for J&J’s Global Finance organization. Working with a global team of Data Scientists, Data Engineers, Finance Analysts, and ML Engineers, you will help advance the Global Finance data science and AI roadmap, deliver actionable insights to finance and business leaders, reduce manual effort through automation, and enhance the user experience. You will operate and enhance Global Finance data science projects in production on a monthly basis, with a focus on Predictive Financial Intelligence and forecasting. You will build automated data pipelines using finance source systems, including SAP ERP and SAP S/4HANA, and platforms such as Databricks. You will also help transition proofs of concept into reliable production solutions, incorporate stakeholder feedback, develop performance tracking Power BI dashboards, and integrate conversational analytics into dashboards and applications. Major Duties & Responsibilities Develop and automate data processing and modeling pipelines for large datasets from finance and ERP systems, including SAP HANA and SAP BW. Write scalable, production-grade Python code. Run and maintain data science projects in production on a monthly basis, incorporating enhancements based on evolving business needs and stakeholder feedback. Develop data science solutions by translating business problems into analytical approaches, processing data, identifying trends and patterns, generating insights, and communicating findings. Implement machine learning and statistical models for predictive analytics, time series forecasting, decision support, Generative AI, and natural language processing use cases. Develop Power BI dashboards and production-grade data models that translate analytical outputs into actionable business insights. Deploy analytical models into production and ensure adherence to requirements and standards, including version control and documentation. Help migrate existing Predictive Financial Intelligence