Principal Data Scientist - Digital Health
Principal Data Scientist - Digital Health
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Job Description
About the role:
At Alcon we aspire to lead the world in innovating lifechanging 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 crossfunctional 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 fastgrowing team which will give you the opportunity to shape our ways of working and culture think startup 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 datadriven decisionmaking 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
- Bachelors 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 largescale data.
- Deep understanding of ML and deep learning methods with their underlying theory and math
- Handson experience with GenAI application development including Chatbots and AI agents using both unstructured and structured data
- 3 years in MLOps including endtoend development deployment and operationalization of analytics products.
- 3 years building cloud analytics solutions on AWS Azure or GCP.
- Proficient in Python and SQL.
- Thrives in crossfunctional teams values diverse perspectives and adapts quickly to new challenges and domains.
- Solutionoriented 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 AIbased software products.
Location
India
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.
Required Experience:
Staff IC
Employment Type
Full-Time
