Job Description

Senior Data Scientist - Digital Fulfilment Network Optimisation

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.

Team Overview


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 fulfilment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfilment network.


As a Senior 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 fulfilment solutions for our supply chain/logistics needs.

In this role as a Senior Data Scientist, you will:

• Develop a strong understanding of business/ operational processes within Target's supply chain.
• Develop an in-depth understanding of the various systems and processes that influence digital order fulfilment speed & costs.
• Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact.
• Analyse large datasets for insights leading to business process improvements or solution development.
• Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfilment strategies.
• Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members.
• Produce clean, efficient code based on specifications.
• Coordinate the analysis, troubleshooting and resolution of issues in the models and software.

Requirements:

• Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields.
• 3-4+ years of relevant experience in data sciences; experience with supply chain or e-commerce order fulfilment is preferred.
• Excellent working knowledge of mathematical and statistical concepts, operations research, data structures and algorithms, data analysis, visualizations, and applications of the same in a variety of business problems.
• Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real and mixed integer), and their applications in industry settings
• Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required.
• Ability to clean, transform, manipulate, and analyse 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.
• Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark.
• Experience deploying solutions with large-scale business impact in commercial setting is a plus.
• 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

Useful Links-

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/diversity-and-inclusion