Senior Associate Data Science

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you'll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers.

We foster an inclusive culture and are looking for diverse, dedicated people to join Alcon. As a Senior Associate, Data Science
, you will be part of Alcon's Analytics & Intelligence function
, focused on leveraging advanced analytics to transform the eye care industry. This is an onsite role based at our Fort Worth, Texas Main Campus
.

In this role, you will design and build data science solutions that transform complex structured and unstructured data into actionable insights for business process improvement. You will apply Machine Learning, Operations Research, Large Language Models (LLMs), and advanced analytics to solve business challenges, drive innovation, and enhance decision‑making across the organization.

• Develop and test various analytics models such as Machine Learning, Mathematical Optimization and advanced analytics approaches to solve business problems
• Leverage LLMs and Agentic AI to automate end-to-end analytics, uncover insights from complex data, and drive faster, data‑driven decisions.
• Analyze large datasets to identify trends, insights, and optimization opportunities
• Contribute to model selection, data preparation, and analytical frameworks
• Work with senior data scientists and business partners to align solutions to business needs
• Deliver data‑driven recommendations that improve operational and strategic decisions
• Communicate findings clearly to both technical and non‑technical audiences
• Recommend improvements to tools, processes, and methodologies
• Balance business requirements, stakeholder needs, and technical constraints to deliver scalable solutions

• 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

• 2 Years of Relevant Experience in Mathematical Optimization Models (e.g., Linear Programming, Meta‑Heuristics) and Machine Learning techniques
• Strong proficiency in programming languages including Python and SQL
• Experience with mathematical solver, such as CPLEX or Gurobi
• Experience with data visualization tools such as Tableau or Power BI, etc.
• Experience with using cloud platforms such as AWS or Azure
• The ability to fluently read, write, understand and communicate in English
• Excellent analytical, problem‑solving, and communication skills
• Ability to translate technical insights into actionable business recommendations
• Experience managing data pipelines and model maintenance and registry

• Manage your own workload and schedule while hitting your set targets.
• Build positive working relationships to achieve positive goals and business objectives.
• Balance experiencing new environments and working autonomously in a remote sales environment.
• Alcon provides robust benefits package including health, life, retirement, flexible time off for exempt associates, and much more!

Alcon is an Equal Opportunity Employer and participates in E‑Verify.

Alcon takes pride in maintaining an inclusive environment that values different perspectives and our policies are non‑discriminatory in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Alcon is also committed to working with and providing reasonable accommodation to individuals with disabilities.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an email to  and let us know the nature of your request and your contact information.