Responsibilities

• Design, build, and validate causal models to evaluate marketing campaigns and initiatives. Leverage advanced statistical methods to identify and quantify causal relationships.
• Design and implement randomized controlled trials (RCTs) to test marketing strategies and derive credible insights.
• Perform complex statistical analyses to interpret data from experiments and observational studies.
• Collaborate with marketing teams to provide data-driven recommendations and present findings to stakeholders.
• Work with cross-functional teams to identify key business questions and develop analytical solutions.
• Stay current with industry trends and apply new methodologies to improve measurement accuracy.
• Maintain comprehensive documentation and communicate analyses effectively to non-technical audiences.

Requirements

• PhD, or Master’s degree and 4+ years of quantitative field research experience
• Experience applying scientific principles to business problems and products
• Experience analyzing both experimental and observational data sets
• Experience in causal modeling (graphical models, causal Bayesian networks, A/B testing, quasi-experiments)

Preferred

• Knowledge of R, MATLAB, Python or similar scripting language
• Experience with agile development
• Experience building web-based dashboards using common frameworks
• Experience in machine learning, statistics, and deep learning
• Experience working with data mining on large datasets
• Experience working with cross-functional teams

Benefits

• Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave