Sr. Associate I, Data Science

Summary of Position:

At Alcon were passionate about enhancing sight and helping people see brilliantly. With more than 25000 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

Responsible for developing and programming methods processes and systems to consolidate and analyze unstructured diverse data sources to generate insights and solutions for client services and product enhancement. Data Science harness techniques from traditional AI domains such as machine learning for Time Series and Computer Vision as well as generative AI focusing on Large Language Models (LLMs) for natural language processing. They leverage these technologies to uncover deep insights innovate solutions and drive forward the boundaries of what AI can achieve in various industry applications.

Key Responsibilities:

Sr. Associate I Data Science (Science/Tech/Engineering Path) is primarily responsible for supporting and driving data science projects by applying advanced artificial intelligence and machine learning techniques to deliver actionable business insights and solutions. Specifics include:

Develop test and select machine learning models to support data science projects making decisions regarding model selection and data processing methods
Analyze large datasets to extract actionable insights and inform decision-making
Collaborate with senior data scientists and stakeholders to achieve project objectives
Document and communicate findings and recommendations to both technical and non-technical audiences
Explore and recommend innovative artificial intelligence solutions to enhance team capabilities and improve data science processes and tools
Balance project requirements with technical constraints using sound judgment.

Key Requirements/Minimum Qualifications:

Strong analytical skills and technical problem solving

Solid experience in building code and models

Solid experience with building mathematical Optimization models with cvxpy etc.

Good Experience with NLP and Computer Vision Algorithms

Should have MLOps experience

Project Management experience

Experience with tools such as: Python SQL AWS Tableau Sagemaker CVXPY etc.

Selecting and employing advanced statistical procedures to obtain actionable insights.

Cross-validating models to ensure their generalizability.

Delegating tasks to Junior Data Analysts or Data Scientists in order to realize the successful completion of projects.

Producing and disseminating non-technical reports that detail the successes and limitations of each project Analytics Translation.

Suggesting ways in which insights obtained might be used to inform business strategies.

Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

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 leaders 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.