Lead Data Scientist - Merchandising & Pricing (REMOTE)
Core
Lead technical design and implementation of AI/GenAI and Machine Learning solutions to transform omnichannel merchandising and pricing strategies, delivering intelligent decisioning tools for retail operations.
Role type
Lead Data Scientist (Merchandising & Pricing)
Builds
Enterprise-grade AI/GenAI capabilities for demand forecasting, assortment optimization, price elasticity modeling, and inventory allocation.
Domain
Retail / E-commerce / Machine Learning
Deliverable
production ML models
Required skills
Machine Learning algorithms, Deep Learning (LSTM, Transformers), Generative AI and Large Language Models, Optimization models, NLP, Python, Cloud platforms (Databricks, GCP, Azure ML, Vertex AI), ML Ops, A/B Testing design, Causal inference
Preferred skills
Operations research, Software engineering principles for ML systems, Technical leadership and mentoring
Technologies
TensorFlow, PyTorch, LangChain, OpenAI
Responsibilities
Lead design and implementation of advanced data science algorithms for merchandising and pricing; Develop and optimize multivariate demand forecasting models; Implement AI/ML driven assortment selection algorithms; Collaborate on NLP and GenAI for product attribute enrichment and feature stores; Build and deploy robust ML models for classification, regression, and clustering; Develop price elasticity and causal inference models; Champion test-and-learn approaches through structured experiments.
Seniority
Senior, hands-on IC with technical leadership
