Sr Data Scientist-Pricing
Core
Build and improve data science models for price elasticity, demand forecasting, and optimization-based pricing recommendations to balance revenue, margin, and guest value.
Role type
Senior IC data scientist (pricing & optimization)
Builds
Production pricing decisioning systems and models for retail stores and digital channels
Domain
Retail pricing, econometrics, and machine learning
Deliverable
production ML models
Required skills
price elasticity modeling, demand forecasting, optimization (linear/mixed-integer), time series forecasting, causal inference, statistical modeling, Python, SQL, Spark/PySpark, feature engineering, model validation, A/B testing design
Preferred skills
Generative AI/LLMs/RAG, agentic AI systems, advanced elasticity techniques (Bayesian/GAMs/panel models), MLOps, cloud platforms, market testing frameworks
Technologies
Python, SQL, Spark, PySpark, Hive, Hadoop, MLflow, Airflow, Docker, Kubernetes, LangChain, LangGraph
Responsibilities
Develop price elasticity and demand forecasting models; design pricing recommendation models balancing constraints; apply ML and optimization to solve pricing problems; partner with stakeholders to define metrics and translate requirements; build simulation frameworks for strategy evaluation; monitor model performance and drift; collaborate on productionizing models and pipelines; explore GenAI for explainability and automation.
Seniority
Senior, hands-on IC
