Data Science Leader
6 days ago
Company Overview
Alcon is a global leader in eye care, innovating life-changing vision products. We believe in harnessing technology to build digital health solutions that transform the eye care experience.
About the Role
We are seeking a seasoned Data Science Leader to join our Digital Health team. As Principal Data Scientist - Digital Health, you will apply expertise in AI/ML and advanced analytics to design and build analytics products and services in digital health.
Key Responsibilities
- Architect, develop, and operationalize reusable and modular data analytics and AI/ML products on Alcon's digital health data platform.
- Collaborate with data product teams to define requirements for data pipelines, products, and analytics use cases.
- Collaborate with data engineering teams to build data products and analytic use cases.
- Collaborate with business partners 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, focusing 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.
Required Skills and Qualifications
We seek a highly skilled professional with:
- 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.
Estimated Salary: $180,000 - $220,000 per year
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