Sr Data Scientist- Space Presentation

About this role

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Skills you'll use

What you'll do

• 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.

Who can apply

• Bachelor’s, Master’s, or PhD in Data Science, Statistics, Economics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative field.
• 4+ years of relevant experience in data science, applied machine learning, , forecasting, optimization, retail domain knowledge, GCP , Big Data.
• Strong hands-on experience building and validating machine learning or statistical models in a business setting.

Perks & benefits

About Target

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