Target Corporation

**Role Overview:** As a Senior Data Scientist at Target, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within stores. Your responsibilities include designing, developing, deploying, and maintaining data science models and tools. You will work closely with applied data scientists, data analysts, and business partners to address evolving business needs. Additionally, you will collaborate with engineers and data scientists on peer teams to build and stores solutions. **Key Responsibilities:** - Develop a strong understanding of business and operational processes within Target's Stores. - Gain an in-depth understanding of systems and processes influencing stores efficiency. - Analyze large datasets to derive insights for business process improvements and solution development. - Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. - Collaborate 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 stores operating model. - Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. - Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. - Coordinate the analysis, troubleshooting, and resolution of issues in models and software. **Qualifications Required:** - Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. - 3-4+ years of relevant experience. - Experience in applying Operations Research to solve complex problems in Supply chain or related domain. - Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. - Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. - Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. - Proficiency in Python, SQL, Hadoop/Hive, Spark. - Strong experience in JVM-based languages like Java or Kotlin preferred. - Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. - Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. - Experience deploying solutions with large-scale business impact. - Self-driven and results-oriented, with the ability to meet tight timelines. - Strong team player with the ability to collaborate across geographies/time zones. - Excellent written and verbal communication skills.,