Senior Data Science Associate

Senior Associate I, Data Science

Summary of Position:

Design and build data science solutions that transform complex, structure and unstructured data into actionable insights for business process improvement. Apply Machine Learning, Operations Research, and advanced analytics to solve business problems and drive innovation.

Leverage Large Language Models (LLMs) and Agentic AI to generate insights, automate analytical workflows, and enhance decision-making across business processes.

Senior Associate, Data Science

This role is part of Alcon’s Analytics & Intelligence function, focused on leveraging various types of analytics to transform the eye care industry. As a Senior Associate, Data Science, you will help solve business problems using Machine Learning, Operations Research, LLM and advanced analytics. You will support data science and AI projects from data exploration through model development, generating insights that improve decision-making and business performance.

Key responsibilities:

• 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

Key Requirements/Minimum Requirements:

• Bachelor’s Degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, Data Science, or related field. or Equivalent years of directly related experience (Btech.+ 2-3 yrs; M.S.+0 yrs)
• 2 Years of Relevant Experience in Mathematical Optimization Models (e.g., Linear Programing, 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 PowerBI, 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.

Work hours: 1 PM to 10 PM IST

Relocation assistance: Yes

Employment Scams: Alcon is aware of employment scams which make false use of our company name or leader’s names to defraud job seekers. Alcon does not offer any positions without interview and never asks candidates for money. All our current job openings are displayed here on the Careers section of our website, where you can search for open positions and apply directly.

If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information, and check our website for current job openings.

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. We do not 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 status, disability, or any other reason.

Experience Level

Mid Level