Sr Data Scientist-Pricing

Target is hiring a Sr Data Scientist-Pricing in Bangalore.

Responsibilities

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 Generative 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 forecasting, causal inference, and optimization techniques to solve pricing problems at scale.

• Explore approaches such as log-log elasticity models, panel models, hierarchical models, generalized additive models, gradient boosting, Bayesian methods, and other relevant ML techniques.

• Partner with business and product teams to understand pricing strategy, define success metrics, and translate requirements into model design.

• Work with large-scale retail data including sales, price history, promotions, item attributes, competitor pricing, inventory, store and market attributes, and guest demand signals.

• Conduct deep-dive analyses to diagnose model performance, elasticity behavior, underperforming recommendations, outliers, sparse data, and category-specific pricing patterns.

• Build simulation and scenario-testing frameworks to evaluate pricing strategies before recommendations are deployed.

• Support experimentation and measurement design, including A/B tests, market tests, incrementality measurement, control/test methodology, and model impact assessment.

• Collaborate with ML Engineers and Software Engineers to productionize models, automate pipelines, improve reliability, and integrate outputs into business-facing workflows.

• Monitor model performance over time, identify drift or degradation, and recommend improvements to maintain model quality and business impact.

• Communicate model logic, assumptions, trade-offs, risks, and recommendations clearly to technical and non-technical stakeholders.

Requirements

• Strong experience in Python, SQL, and large-scale data analysis.

• Hands-on experience with machine learning, statistical modeling, and model validation.

• Experience with price elasticity modeling, demand forecasting, pricing analytics and optimization.

• Strong understanding of feature engineering, backtesting, model evaluation, and performance diagnostics.

• Experience working with large-scale structured data using Spark, PySpark, Hive, Hadoop, or similar platforms.

• Good understanding of experimentation, A/B testing, causal measurement, or incrementality analysis.

• Basic to intermediate ex

About Target

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. At