JOIN TARGET AS Senior Data Scientist - Digital Fulfilment Network Optimisation

Description:

Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.

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.

A role with the Data Science team means building scalable data science products in support of the ever-changing supply chain landscape. This will mean being more intelligent, automated, and algorithmic in our decision-making. Evaluating product flow from vendor to distribution center, and to the stores across the first mile, middle mile, and last mile, with focus on inventory modeling and replenishment, to improve operating efficiencies both within 4 walls of distribution center and across the network.

So, we’re looking for exceptional people who are proactive, creative, independent, innovative, and comfortable working in varying degrees of ambiguity. Are you a creative problem-solver who seeks root cause, simplifies problems, quickly identifies solutions, commits to a plan, and then positively influences others to execute it? If so, you will have success on this dynamic team.

About the role:

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 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 fulfillment 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 fulfillment 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 fulfillment 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.

• Analyze 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 fulfillment 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 fulfillment 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 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.

• 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

Why work with us at Target?

• You will work directly on the Data Science problems that have the most impact on Target's entire supply chain, forecasting and merchandising teams.

• We love open source! Many of our team members contribute to open-source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects!

• We value diversity. We believe that diversity and inclusion is of core importance when try to create positive in-store experiences for our guests, and we think it is also critically important when building our teams. Read more about our commitment to diversity and inclusion (https://corporate.target.com/corporate-responsibility/diversity-inclusion)

• We value our team members for who they are, not just what they can get done. We are parents, hobbyists, enthusiasts, family members, and community members, and can offer flexibility to our team members' schedules and work arrangements so that they can flourish both inside and outside of work.