Sr Data Scientist-Pricing

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.

Overview The Pricing Data Science team builds data science capabilities that help Target make better pricing decisions across stores and digital channels. The team develops models and decisioning systems that estimate demand, understand price elasticity, optimize recommendations, measure incrementality, and support pricing strategies that balance sales, margin, guest value, competitive position, and business guardrails. Pricing is a critical lever for 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 Pricing, you will help build and improve data science models that power Target's Price Optimization capabilities. The primary focus of this role will be price elasticity modeling, demand forecasting , and optimization-based pricing recommendations. You will partner with Data Scientists, Product Managers, Engineers, Analysts, Merchandising partners, and business stakeholders to translate complex pricing problems into scalable modeling solutions. You will develop models that estimate how guests respond to price changes, forecast demand under different pricing scenarios, support recommendation generation, and measure the incremental impact of pricing decisions. 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 pricing 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 price elasticity models that estimate guest response to price changes across items, markets, channels, and categories. Build demand forecasting models that account for price, seasonality, promotions, competitive signals, item hierarchy, inventory, store or market behavior, and historical sales patterns. Design pricing recommendation models that balance revenue, margin, guest affordability, competitive positioning, guardrails, and business constraints. Apply machine learning, statistical modeling, econometrics, time series