TARGET | Hiring | Lead Data Scientist | BigDataKB.com | 08-04-2022

JOIN TARGET AS Lead Data Scientist – Digital Fulfillment

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 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

As a Lead 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 Lead 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.
• Work with the team to build and maintain complex software systems and toolsAnalyze data to identify and propose feature enhancements. Design and implement features to improve scope of the product.
• 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

Requirements:

• MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or other related fields
• 6-7+ years of relevant experience
• Experience deploying models with large-scale business impact in commercial setting
• Deep understanding of data structures and algorithms
• Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required.
• Background in supply chain will be preferable but not mandatory
• Experience working with large event-driven distributed systems and multi-threaded applications
• Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark. Additional knowledge of Scala, R, Java desired but not mandatory
• Good working Knowledge of Mathematical and statistical concepts, MILP, algorithms and computational complexity, data analysis, data mining, forecasting/predictive modeling, simulations, visualizations, machine learning, etc and application of same in a variety of business
• 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
• 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.

Qualifications: