Data Scientist- Operations Research

About Us

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful

Overview about TII

At Target, we have a timeless purpose and a proven strategy. And that hasn't happened by accident. Some of the best minds from diverse 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 Target's global team and has more than 4,000 team members supporting the company's 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, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.

Team Overview

Global Supply Chain and Logistics at Target is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guests better, faster and more cost effectively than before across 1900 locations

Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Target's Supply Chain e.g. identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, Digital order Fulfillment planning, transportation resource planning, etc.  As a Data Scientist in Digital fulfillment Planning space, you will have the opportunity to work with Product, Tech, and business partners to solve retail challenges at scale for our fulfillment network.

Position Overview

As a Data Scientist at Target you will get an opportunity design, develop, deploy and maintain data science models and tools.  You'll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs.  You'll also collaborate with engineers and data scientists on peer teams to build and productionize fulfillment solutions for our supply chain/logistics needs. In this role as a Data Scientist, you will:

• Develop a strong understanding of business and operational processes within Target's Supply chain.

• Develop an in-depth understanding of the various systems and processes that influence Digital order fulfillment speed & costs. Analyze large datasets for insights leading to business process improvements or solution development.

• Work with the team to build and maintain complex software systems and tools.

• Add new capabilities and features to the simulation framework to reflect the complexities of an evolving digital fulfillment network.

• Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies.

• Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members.

• Produce clean, efficient code based on specifications.

• Enhance and maintain simulation environment to enable testing/deploying new features for running custom, user defined scenarios through the simulator.

• Coordinate the analysis, troubleshooting and resolution of issues in the models and software.

About You

• Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields

• 1+ years of relevant experience

• Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark.

• Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required.

• Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Background in handling supply chain data will be preferable but not mandatory.

• Experience developing, testing, and maintaining large codebases in a collaborative environment, while meeting industry best practices.

• Good working Knowledge of Mathematical and statistical concepts, optimization, data structures and algorithms, data analysis, simulations, visualizations, and applications of same in a variety of business problems

• Experience deploying solutions with large-scale business impact in commercial setting.

• Self-driven and results oriented. Willing to stretch to meet tight timelines.

• Strong team player with ability to collaborate effectively across geographies/ time zones.

• Excellent written and verbal communication skills

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