Lead Data Scientist- Operations Research

Overview about TII

At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations.

Pyramid overview

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.

About You

• Bachelors/Masters/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field.
• 6+ years of direct, hands-on experience building optimization models (e.g., linear, mixed-integer, network flow, or combinatorial).
• Strong proficiency in Python and Spark for developing and deploying optimization-based solutions.
• Solid understanding of operations research techniques and their application in real-world business problems.
• Experience building large scale optimization models/ ability to build models with smart heuristic solutions
• Demonstrated experience working on end-to-end solution delivery, preferably with production-grade implementation.
• Strong verbal and written communication skills: able to translate technical detail into business insight, and vice versa.
• Strong analytical thinking, data transformation, and problem-solving ability, especially under ambiguity.
• Team player with the ability to collaborate effectively across cross-functional, geographically distributed teams.

Preferred Experience:

• Familiarity with supply chain data and business processes.
• Experience working with large datasets.
• Experience deploying solutions at scale for business impact.
• Background in clean code practices, version control (Git), and collaborative development environments.