Associate Data Scientist
Ciudad de Mexico – AGS
Alcon
Our mission is to provide innovative vision products that enhance quality of life by helping people see better. From vision research to eye health, learn more at Alcon.com.ASSOCIATE DATA SCIENTIST
Location: 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 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, talented people to join Alcon.
As an Associate Data Scientist supporting the commercial team, you will be trusted to work on vast amounts of use cases that require predictive and prescriptive data science skills. This role will provide support to our Data Science workstream by building model-ready datasets, predictive/prescriptive ML models, and providing high-quality interpretations of model outputs to each of our business units.
IN THIS ROLE A TYPICAL DAY WILL INCLUDE:
- Build ML and AI models that provide predictive and prescriptive recommendations to the business.
- Interpret models on behalf of the business to provide actionable insights.
- Aid in presentation of key findings of projects to core stakeholders.
- Maintain and update deployed models as needed.
- Thoroughly analyze and comprehend business use cases to extract comprehensive insights and requirements.
- Ability to write intermediate to advanced SQL queries – Must have.
- Ability to engineer optimal datasets to power ML Models.
- Ability to build meaningful ML/AI models for business use.
- Ability to extract complex meaningful insights and interpret them to business stakeholders.
- Strong Python coding experience.
- High learning agility.
- Detail oriented and organized.
- 75% overlap with CST time zone working hours.
- Strong collaboration experience and willingness to work with multiple stakeholders.
- Ability to create visualizations that communicate insights within complex data.
- Experience with the following Atlassian Tools: Jira & Confluence.
- Experience of Agile development practices.
- Beginner to intermediate level experience with Alteryx - Desirable.
- Ability to stay up to date with recent trends within the field in areas relating to Gen AI/Advanced ML/etc.
WHAT YOU’LL BRING TO ALCON:
- Education: Bachelor’s degree (Data Science, Computer Science, Economics, Business Analytics, etc.).
- Advanced level of English.
- 1-2 years of experience related or internship experience.
HOW YOU CAN THRIVE AT ALCON:
- Opportunity to join a growing, early-stage organization built within a mature, stable global company.
- Friendly working environment and a diverse and highly motivated team.
- Individual career development plan and possible career growth within a newly created account.
- Truly international environment and daily interactions with colleagues and stakeholders from all over the world.
- Attractive benefits & compensation package.
- Flexible hours and remote work possibilities (minimum 3 days per week office-based).
KINDLY SUBMIT YOUR RESUME IN ENGLISH
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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Business Analytics Computer Science Confluence Economics Generative AI Jira Machine Learning ML models Python SQL
Perks/benefits: Career development Flex hours Startup environment
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