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Data Scientist

Actively Reviewing the Applications

JCPenney

Bengaluru On-site

Posted 14 hours ago • Apply by June 17, 2026

Job Description

Overview

Job Title: Data Scientist

The Data Science team within Catalyst Brands “Data and Analytics” team is a cross-functional team that solves complex problems across various functional areas. As a Data Scientist in our data science team, you will leverage your technical skills, business acumen, and creativity to extract and analyze massive data sets and translate complex findings in a structured and clear manner to a non-technical audience.

Responsibilities:

Collaborate with partners and decision makers across multiple business functions to identify opportunities to add value using analytics. Areas cover marketing, digital, store operations, supply chain, and other operational functions in retail.
Help define business objectives and translate the business questions into analytical questions, ideate and develop solutions with advanced analytics concepts and techniques
Build proof-of-concept analyses and models with clearly defined and measurable success metrics to demonstrate value and feasibility
Lead the scaling and operationalization of analytical solutions ensuring capture of intended value at enterprise level
Share concepts and insights clearly with business partners through visualizations
Work with partners in IT throughout the solution development process from data acquisition to implementation of decision systems.
Evangelize data science by sharing the art of the possible with the business community
Add to existing best practices in data science and champion adoption of best practices across the organization
Keep current with retail analytics landscape and help create value at Catalyst Brands using the knowledge

Qualifications:

A Master’s degree in Engineering, Statistics, Physics, or a related discipline, along with a minimum of 4 years of analytical experience — including at least 2 years in core data science — is required.
Good understanding of common machine learning algorithms including regression, classification, neural networks, etc. with experience in real world applications of these algorithms
Experience with data and feature engineering to support various analytical approaches
Strong database experience with advanced SQL skills
Ability to work with data on distributed platforms (like Hadoop) using tools such as Hive
High proficiency in using tools like R and Python for data science activities
Proficiency with data visualization tools, such as Tableau, R Shiny, MicroStrategy, etc.
Strong understanding of data infrastructure (cloud and non-cloud)
Research publications are a plus but not required
Knowledge of GenAI models/Tools are a plus but not required

Pay Range

INR ₹0.00 - INR ₹0.00 /Yr.