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Summary of Position:
At Alcon, we're passionate about enhancing sight and helping people see brilliantly. With more than 25,000 associates, we innovate fearlessly, champion progress, and act swiftly to impact global eye health. We foster an inclusive culture, recognizing your contributions and offering opportunities to grow your career like never before. Together, we make a difference in the lives of our patients and customers.
Key Responsibilities:
This role is part of Alcon's Analytics & Intelligence function, a team that advances data science, articficial intelligence, and machine learning to transform the eye care industry.
The Principal I, Data Analysis & Visualization (Science/Tech/Engineering Path), is primarily responsible for leading technical projects, using advanced data science techniques to analyze complex datasets, create visualizations, and develop data-driven solutions. You will be expected to build effective and meaningful relationships with project teams to ensure successful project completion. Specifics include:
Key Requirements/Minimum Qualifications:
Work hours: 1 PM to 10 PM IST
Relocation assistance: Yes
Employment Scams: Alcon is aware of employment scams which make false use of our company name or leader’s names to defraud job seekers. Alcon does not offer any positions without interview and never asks candidates for money. All our current job openings are displayed here on the Careers section of our website, where you can search for open positions and apply directly.
If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information, and check our website for current job openings.
ATTENTION: Current Alcon Employee/Contingent Worker
If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.
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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.
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