
Sr Data Scientist - Stores and Properties (applied ML, Simulation)
- Brooklyn Park, MN
- $95,000-171,000 per year
- Permanent
- Full-time
Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Target’s Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work.Position Overview:As a Sr Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will 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 address evolving business needs. You’ll also collaborate with engineers and data scientists on peer teams to build and stores solutions.
- 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.
- MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work experience
- 3+ years of professional experience in mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations and visualizations applied to business problems
- 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.
- Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices.
- Demonstrated proficiency in Python, SQL, Hadoop/Hive and Spark
- Experience in JVM-based languages like Java or Kotlin preferred
- Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications
- Experience deploying solutions in ML Ops with large-scale business impacts
- 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