Sr Data Scientist- Operations Research

Job Description

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. 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 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. 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 skill