Alcon

About the role: 

At Alcon, we aspire to lead the world in innovating life-changing vision products because when people see brilliantly, they live brilliantly. As a global leader in eye care, we believe in innovating especially through cutting edge technology. We are on a journey to offer the widest array of eye care and eye health offerings with products that can treat the entire eye at each stage of life. 

Our Digital Health team is harnessing technology to build a leading portfolio of digital health solutions that will transform the eye care experience for medical professionals to patients and enable improved patient outcomes – from a predictive health care delivery platform harnessing ML and analytics to innovative medical device software.

As Principal Data Scientist – Digital Health, you will be responsible for applying expertise in AI/ML and advanced analytics to design and build analytics products and services in digital health, partnering with a cross-functional team of digital product managers, data engineers, and solution architects in an agile environment. In addition, you will collaborate with business partners to define and translate the business problems into structured analytic approaches and drive actionable insights from data to support digital product development and critical business decisions. We are a fast-growing team, which will give you the opportunity to shape our ways of working and culture - think start-up, but inside a global leader in eye care. We are looking for someone who is a strategic thinker and problem solver.

Key Responsibilities 

• Architect, develop and operationalize reusable and modular data analytics products on Alcon digital health data platform. 
• Collaborate with data product team to define requirements for data pipelines, products and analytics use cases. 
• Collaborate with data engineering team to build data products and analytic use cases. 
• Partner with business stakeholders to define business problems, and design and build advanced analysis and ML models that drive actionable insights from data to support business decisions 
• Advocate and educate on the value of data-driven decision-making, with a focus on solving problems 
• Stay updated with AI/ML innovations and best practices and continue driving improvements of our analytics capabilities. 
• Foster a culture of creativity, collaboration, speed, innovation, and engineering excellence. 
• Coach and mentor junior data scientists and data analysts. 

Key Requirements/Qualifications 

Minimum Qualifications 

• Bachelor's degree or above in a quantitative discipline (Statistics, Data Science, Computer Science, Engineering, or related technical field). 
• 7+ years of experience developing advanced analytics and ML models to solve complex business challenges. 
• Strong knowledge of ML techniques like classification, regression, anomaly detection, and optimization on large-scale data. 
• Deep understanding of ML and deep learning methods with their underlying theory and math 
• Hands-on experience with GenAI application development, including Chatbots and AI agents using both unstructured and structured data 
• 3+ years in MLOps, including end-to-end development, deployment, and operationalization of analytics products. 
• 3+ years building cloud analytics solutions on AWS, Azure, or GCP. 
• Proficient in Python and SQL. 
• Experience with BI and dashboarding tools (e.g., Tableau, React). 
• Thrives in cross-functional teams, values diverse perspectives, and adapts quickly to new challenges and domains. 
• Solution-oriented, challenges the status quo, and is passionate about tackling complex problems. 

Preferred Qualifications: 

• Experience in healthcare and related data analytics use cases 
• Experience in building and launching large scale AI-based software products. 

Location 

India 

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Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.