Sr Data Scientist, Pricing (Deep Learning & Demand Forecasting)
Core
Lead data science initiatives to drive business profitability, efficiency, and customer experience by developing advanced analytics infrastructure for pricing and promotion forecasting.
Role type
Senior IC data scientist (pricing & demand forecasting)
Builds
AI solutions for price/promotion outcome forecasting and advanced analytics infrastructure
Domain
Retail (Home Depot) + Deep Learning & Time Series Forecasting
Deliverable
production ML models
Required skills
deep learning techniques, time series forecasting, predictive modeling, data mining, statistical techniques, Python, SQL/BigQuery, Tableau
Preferred skills
PhD in quantitative field, 6+ years in business intelligence/analytics, mastery of statistical techniques for business problem solving
Technologies
Python, Google BigQuery, SQL, Tableau, Microsoft Excel, PowerPoint
Responsibilities
Design and develop algorithms/models for large datasets to create business insights; Mentor junior data scientists and support team recruiting; Collaborate with business partners to leverage data science as a competitive advantage; Define best practices for model productionalization and contribute reusable algorithm libraries
Seniority
Senior, hands-on IC with team support
