JobAgent
← Back to jobs

Data Scientist- Commercial Operations

Alcon

📍Ciudad de Mexico, MX

unknown

Posted 3mo ago · via workday

Apply on workday

Job Description

Data Scientist- Commercial Operations
Mexico City, Hybrid
 

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 contributions and given the opportunity to grow your career through real impact, ownership, and exposure to complex business challenges across the Americas.

As a Data Scientist supporting the Americas Commercial Operations team, you will apply advanced analytics and machine learning techniques to generate insights, optimize reporting processes, and support the development of intelligent automation solutions. This role is focused on transforming business challenges into data-driven models and scalable analytical frameworks that enable better decision-making across the region.

In this role, a typical day will include:

  • Partnering with Commercial Operations stakeholders to frame business problems into analytical and modeling approaches

  • Developing and validating statistical or machine learning models to support reporting optimization and decision-making

  • Collaborating with AI Engineers to integrate models into broader automation or AI-driven workflows

  • Performing exploratory data analysis, feature engineering, and model performance evaluation

  • Communicating findings, limitations, and recommendations clearly to non-technical audiences
     

WHAT YOU’LL BRING TO ALCON
 

Education

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or related field.
     

Experience

  • 3+ years of experience in Data Science, Advanced Analytics, or Machine Learning roles.

  • Experience building predictive, statistical, or optimization models in business environments.

  • Exposure to deploying models into production environments or supporting implementation with engineering teams.
     

Technical Skills

  • Strong programming skills in Python and SQL.

  • Experience with data modeling, feature engineering, and performance evaluation techniques.

  • Experience working in cloud environments such as AWS.

  • Exposure to machine learning frameworks and experimentation workflows.

  • Familiarity with data governance and documentation practices.
     

Behaviors

  • Analytical thinking and structured problem-solving.

  • Strong communication skills and ability to influence through insights.

  • Collaborative mindset and openness to feedback.

  • Ability to work in evolving and ambiguous environments.
     

HOW YOU CAN THRIVE AT ALCON

  • Work on high-impact analytical initiatives supporting commercial decision-making across the Americas.

  • Collaborate in a partnership-driven environment with strong cross-functional visibility.

  • Grow into broader AI and intelligent automation initiatives as the capability expands.

WHY JOIN US?
 

You’ll play a critical role in ensuring data accuracy and building scalable solutions that drive strategic decision across the Americas region. This is an opportunity to influence processes, improve operational efficiency, and contribute to a culture of data excellence.
 

Alcon Careers

See your impact at http://alcon.com/careers

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.

Find Jobs for Employees

Find Jobs for Contingent Worker

  

Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment and our policies are not to 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 or veteran status, disability, or any other legally protected status.

Details

Work Type
unknown
Locations
Ciudad de Mexico, MX
Posted
March 16, 2026
Source
workday