Description

Basic Qualifications

• PhD, or Master's degree and 4+ years of experience in CS, CE, ML, Statistics, Economics, or related field
• 3+ years of experience building machine learning models or developing algorithms for business application
• Experience with causal inference methods (e.g., A/B testing, difference-in-differences, instrumental variables, propensity scoring, synthetic controls)
• Familiarity with cloud computation (e.g., AWS tools such as S3, SageMaker, EMR, or EC2)
• Experience programming in Python, R, or related language

Preferred Qualifications

• PhD in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or equivalent quantitative field
• 5+ years of experience building marketing measurement models (MMM, CLV, multi-touch attribution)
• Experience designing and analyzing A/B tests and geo experiments at scale
• Experience in patents or publications at top-tier peer-reviewed conferences or journals (e.g., KDD, ICML, NeurIPS, QME, Marketing Science)
• Excellent oral and written communication skills, with the ability to communicate complex technical concepts to all levels of the organization

Key Skills

Education

Master's degree