Data Scientist, Marketing & eCommerce
Core
Design, build, and maintain predictive Customer Lifetime Value (LTV) and eCommerce revenue forecasting models to drive marketing investment, retention, and strategic planning decisions.
Role type
Senior IC data scientist (predictive modeling & forecasting)
Builds
Production ML models for customer value prediction and revenue forecasting
Domain
eCommerce, direct-to-consumer (DTC), subscription business
Deliverable
production ML models
Required skills
Python, SQL, predictive modeling, statistical analysis, machine learning, cohort analysis, customer segmentation, model validation
Preferred skills
Google Cloud Platform (GCP), BigQuery, Large Language Models (LLMs), generative AI, model deployment
Technologies
Python, SQL, GCP, BigQuery
Responsibilities
Design and validate LTV models using transaction and behavioral data; forecast eCommerce revenue, orders, and conversion rates; analyze historical trends and seasonality; partner with Marketing, Finance, and Product teams to apply insights; collaborate with Data Engineering to ensure data quality; explore AI/LLM use cases for analytics workflows.
Seniority
Senior, hands-on IC
