Tech Stack

Description

You will work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Requirements

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory and machine learning algorithms
• Proficiency in Python or R for statistical analysis and machine learning
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments

Responsibilities

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics
• Design, develop, and deploy machine learning models to predict customer responses and optimize advertising spend
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to stakeholders through data visualizations and presentations