Sr Data Scientist- Space Presentation

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 5000+ 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.

Overview The Space/Presentations Data Science team builds data science capabilities that help Target make better Planogram decisions across stores. The team develops ML and Optimization models and decisioning systems that estimate Sales, understand space elasticity, optimize Planogram fitment, measure incrementality, and support POG execution strategies that balance sales, margin, guest value, competitive position, and business guardrails. Planogram is a critical lever for how guests interact with Target at stores ,spurs sales and makes enterprise growth, affordability, guest trust, and profitability. The team works at the intersection of machine learning, econometrics, forecasting, optimization, experimentation, retail science, and production decisioning to improve how prices are recommended, reviewed, measured, and scaled across categories.

Overview As a Senior Data Scientist in Merchandising , you will help build and improve data science ML and Optimization models that power Target's Planogram capabilities. The primary focus of this role will be Sales Forecasting and elasticity models with optimization-based presentation recommendations. You will partner with Data Scientists, Product Managers, Engineers, Analysts, Merchandising partners, and business stakeholders to translate complex problems into scalable modelling solutions. This role is ideal for someone with strong foundations in machine learning, statistical modeling, forecasting, and applied optimization, with interest in solving high-impact retail problems at scale. Experience with G enerative AI , LLMs, RAG, or AI agents is a plus as the team explores AI-enabled measurement, explainability, monitoring, and decision-support workflows.

Develop, validate, and improve forecasting and elasticity models (using Regressions) that estimate Sales which is used as input for facings recommendations on Planogram. Account for multiple variables present in forecasting and separate impact of target variable on Sales.(Vif, multicollinearity) Use optimization to recommend optimal item placements on POG such that expense to service POG’s is lower and all item facings which are recommended fit on the POG (constrained Linear programming including the use of Fuzzy logic constraints) Create Item groups/segments to measure POG Performance and recommend changes using segmentation and similarity measures Scale and deploy