Sr. Economist, Advertising Incrementality Measurement

Amazon • New York, NY

1d • Onsite

About The Position

Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business? Are you passionate about causal inference, Deep Learning/DNN, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to be an Economist leader within our Advertising Incrementality Measurement science team! Our work builds the foundations for providing customer-facing experimentation tools, furthering internal research & development on Econometrics, and building out Amazon's advertising measurement offerings. Incrementality is a lynchpin for the next generation of Amazon Advertising measurement solutions and this role will play a key role in the release and expansion of these offerings.

Requirements

• PhD in economics or equivalent

Nice To Haves

• Experience in analytics and applied economics
• Experience in developing and executing an analytic vision to solve business-relevant problems
• Experience in building statistical models using R, Python, STATA, or a related software
• Experience in industry, consulting, government or academic research

Responsibilities

• Defining and executing on key workstreams within our overall causal measurement science vision
• Lead the development of experimental methodologies to measure ad effectiveness
• Build observational models that lay the foundations for understanding the impact of individual ad touchpoints for billions of daily ad interactions
• Work on a team of Applied Scientists, Economists, and Data Scientists, alongside a dedicated Engineering team, to work backwards from customer needs and translate product ideas into concrete science deliverables
• Be a thought leader for inventing scalable causal measurement solutions that support highly accurate and actionable insights
• Defining and executing hundreds of thousands of RCTs
• Developing an exciting science R&D agenda
• Working with massive data and industry-leading partner scientists
• Interfacing with leadership to define our future vision

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree