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Medium—strong employer brand but senior, specialized GenAI/MLOps requirements reduce generalist applicant density.
Medium—ML, GenAI and MLOps skills are transferable, but healthcare domain experience is preferred.
High—explicit 7+ years, principal-level ownership, and mandatory GenAI, MLOps and cloud production experience.
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Design, develop, and operationalize modular AI/ML analytics products on Alcon's digital health platform.
Collaborate with cross-functional teams and business stakeholders to translate problems into ML models driving actionable insights for digital product development and decisions.
Lead and mentor junior data scientists, establish reusable architecture and engineering standards across teams.
Bachelor's degree or above in quantitative discipline (Statistics, Data Science, Computer Science, Engineering, or related).
7+ years experience developing advanced analytics and ML models for complex business challenges.
3+ years experience in MLOps including development, deployment, and operationalization of analytics products.
3+ years building cloud analytics solutions on AWS, Azure, or GCP; hands-on experience with GenAI application development and proven ownership of production GenAI or agentic-AI systems.
Experienced principal-level data scientist with expertise in establishing architecture, governance, and cross-team adoption in analytics and AI.
Strategic thinker comfortable working in agile, cross-functional teams focused on digital health product innovation.
Strong practical skills with GenAI, large-scale ML workflows, cloud analytics platforms, and productionizing AI solutions.