Sr Data Scientist

Alcon Research•Fort Worth, TX

22h•Onsite

About The 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. Are you ready to join us? Alcon is looking to hire a Sr. 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. This role is on-site in our Fort Worth, Texas location and a typical day would include: 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. 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, 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.

Requirements

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.
Proficient in Python and SQL.
Experience with BI and dashboarding tools (e.g., Tableau).
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.
Bachelor’s Degree or Equivalent years of directly related experience (or high school +10 yrs; Assoc.+6 yrs; M.S.+0 yrs)
The ability to fluently read, write, understand and communicate in English
2 Years of Relevant Experience

Nice To Haves

Experience in healthcare and related AI and data analytics use cases

Responsibilities

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.
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, 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.