Sr Data Scientist- Space Presentation

Target is hiring a Sr Data Scientist- Space Presentation in Bangalore.

Responsibilities

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 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 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 solution to production environments

• Create measurement frameworks to evaluate model performance

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

• Work with large-scale retail data including sales, presentation history, item attributes, 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.

• 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 modelling, and model validation.

• Experience with demand forecasting, elasticity modelling 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.

• Basic to intermediate experience with optimization methods, simulations, or constraint-based decisioning.

• Ability to translate business problems into analytical and modeling solutions.

• Strong documentation, storytelling, and stakeholder communication skills.

Preferred qualifications

• Experience in retail, merchandising.

• Experience with scalable model pipelines, automated retraining, model monitoring, explainability, and MLOps practices.

• Experience with market testing, synthetic controls, d

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