Senior Data Scientist, Statistics and Modeling
Core
Design and deliver analytical measurement frameworks, advanced statistical and deep learning models, causal inference frameworks, and agentic AI solutions for retail, loyalty, and customer analytics.
Role type
Senior IC data scientist (statistics, causal inference, and agentic AI)
Builds
Production ML models, attribution/incrementality frameworks, and automated analytical workflows for marketing and loyalty programs
Domain
Retail, customer engagement, and marketing analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Statistics, causal inference, experimental design, deep learning, Python, R, SQL, Spark, PyTorch, TensorFlow
Preferred skills
Agentic AI architectures, LLM-based solutions, Databricks, Azure Synapse, multi-stage pipeline orchestration
Responsibilities
Design market/store/user-level test designs with success criteria; Research statistical methodology for protocol development; Construct predictive models to reduce test costs; Develop statistical, causal, and machine learning models for customer engagement; Design attribution and Marketing Mix Modeling frameworks; Implement agentic AI solutions for workflow automation; Lead optimization of end-to-end analytical pipelines
Seniority
Senior, hands-on IC
