Sr Data Scientist- Space Presentation
Core
Build and improve ML and Optimization models for Sales Forecasting and elasticity to optimize Planogram item placements and facings in retail stores.
Role type
Senior IC data scientist (merchandising optimization)
Builds
Production decisioning systems for Planogram fitment, sales estimation, and item placement recommendations
Domain
Retail / Merchandising / Optimization
Deliverable
production ML models
Required skills
Python, SQL, Spark, PySpark, Hadoop, Regression, Linear Programming, Feature Engineering, Model Validation, A/B Testing, Statistical Modeling
Preferred skills
Generative AI, LLMs, RAG, AI Agents, MLOps, Retail Domain Knowledge
Technologies
Python, SQL, Spark, PySpark, Hive, Hadoop, GCP
Responsibilities
Develop and validate forecasting and elasticity models; Use optimization to recommend optimal item placements; Scale and deploy solutions to production; Create measurement frameworks for model performance; Partner with business teams to define success metrics; Monitor model performance and identify drift; Explore GenAI for pricing and measurement use cases.
Seniority
Senior, hands-on IC