DistantJob

Data Scientist

• Transform and organize complex retail transaction data, including receipt-level information and product catalog matching
• Operate effectively within SQL-constrained clean room environments for data analysis and processing
• Calculate incremental advertising impact on critical business metrics, including revenue and customer acquisition
• Implement both experimental (randomized controlled trials) and observational methodologies
• Deploy advanced causal inference techniques for longitudinal data analysis, including difference-in-differences, synthetic control methods, and variations
• Apply causal machine learning approaches such as double machine learning and other innovative techniques
• Design and structure controlled experiments where feasible
• Create reliable causal inference frameworks for scenarios where traditional experimentation isn't possible
• Translate complex technical findings into accessible insights for business stakeholders
• Collaborate directly with clients to understand business context, operations, and strategic objectives
• Explore and integrate novel data sources and analytical approaches to expand measurement capabilities