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Bengaluru location, recognizable global brand, and generalist Data Scientist title create moderate applicant competition.
Core ML skills are transferable but digital health and medical-data context raise domain specificity.
Explicit 7+ years plus mandatory production GenAI, MLOps and cloud requirements enforce strict filtering.
Design, develop, and operationalize reusable modular data analytics and ML products within Alcon's digital health platform.
Collaborate cross-functionally with product managers, data engineers, solution architects, and business stakeholders to define requirements, translate business problems, and deliver actionable insights.
Coach and mentor junior data scientists and promote best practices in AI/ML innovations and engineering standards.
Bachelor's degree or higher in quantitative fields like Statistics, Data Science, Computer Science, or Engineering.
7+ years of experience developing advanced analytics and ML models for complex business challenges.
3+ years of MLOps experience including end-to-end deployment and operationalization of analytics products.
3+ years building cloud analytics solutions on AWS, Azure, or GCP; proficient in Python and SQL; hands-on experience with GenAI application development and production ownership.
Experienced in scalable AI/ML product architecture, establishing governance, and standards at principal level across multiple teams.
Skilled in applying complex ML and deep learning methodologies, including GenAI/agentic AI systems, within agile cross-functional teams.
Ability to work flexible hours (1 PM to 10 PM IST) and adapt quickly across digital health or healthcare-related data domains.