Data Scientist, Statistics and Modelling - 2 Year Contract
Core
Design and deliver analytical measurement frameworks, perform advanced statistical models, and build causal inference frameworks to support retail, loyalty, and customer analytics.
Role type
Senior IC data scientist (statistics and modelling)
Builds
Predictive models, test designs, and measurement frameworks for retail and loyalty programs
Domain
Retail / Customer Analytics / Marketing Optimization
Deliverable
production ML models
Required skills
Causal inference, experimental design, statistical modelling, predictive modelling, SQL, Python, R, SAS, large dataset analysis, cloud data structures
Preferred skills
Databricks, Azure Synapse, retail business experience, loyalty program experience
Responsibilities
Develop deep understanding of Retail business, Loyalty, Store Operations, and Marketing programs; Build comprehensive market, store and user-level test designs; Research statistical methodology for protocol development; Construct and improve predictive models; Validate, analyze and investigate test data; Develop statistical, causal, and machine learning models; Act as an active contributor to the analytics strategy
Seniority
Senior, hands-on IC
