Sr Data Scientist- Stores

About Us

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Overview about TII

At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations.

Pyramid Overview

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.

Team Overview

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 Senior 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 stroes 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.

About You

- 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.

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