Principal Economist, Fixed Marketing Campaign Measurement & Optimization (CMO)

Amazon's Global Fixed Marketing Campaign Measurement & Optimization (CMO) team is looking for a senior economic expert in causal inference and applied ML to advance the economic measurement, accuracy validation and optimization methodologies of Amazon's global multi-billion dollar fixed marketing spend.

This is a thought leadership position to help set the long-term vision, drive methods innovation, and influence cross-org methods alignment.

This role is also an expert in modeling and measuring marketing and customer value with proven capacity to innovate, scale measurement, and mentor talent.

This candidate will also work closely with senior Fixed Marketing tech, product, finance and business leadership to devise science roadmaps for innovation and simplification, and adoption of insights to influence important resource allocation, fixed marketing spend and prioritization decisions.

Excellent communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.

Key job responsibilities

• Advance measurement, accuracy validation, and optimization methodology within Fixed Marketing.
• Motivate and drive data generation to size.
• Develop novel, innovative and scalable marketing measurement techniques and methodologies.
• Enable product and tech development to scale science solutions and approaches.

A day in the life

• Propose and refine economic and scientific measurement, accuracy validation, and optimization methodology to improve Fixed Marketing models, outputs and business results
• Brief global fixed marketing and retails executives about FM measurement and optimization approaches, providing options to address strategic priorities.
• Collaborate with and influence the broader scientific methodology community.

About the team

CMO's vision is to maximizing long-term free cash flow by providing reliable, accurate and useful global fixed marketing measurement and decision support.

The team measures and helps optimize the incremental impact of Amazon (Stores, AWS, Devices) fixed marketing investment across TV, Digital, Social, Radio, and many other channels globally.

This is a fully self supported team composed of scientists, economists, engineers, and product / program leaders with S-Team visibility.

We are open to hiring candidates to work out of one of the following locations :

Irvine, CA, USA San Francisco, CA, USA Seattle, WA, USA Sunnyvale, CA, USA

BASIC QUALIFICATIONS

• PhD in Economics, Statistics, or other quantitative field.
• 8 + years of experience in analytics and applied economics, with expertise in causal inference.
• Proficient in a general programming language.

PREFERRED QUALIFICATIONS

• Experience in developing and executing an analytic vision to solve business-relevant problems.
• Experience in building analytic or scientific data products or solutions, with an emphasis on causal inference within applied ML modeling.
• Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.
• Applicants with considerably more and broader, experience, are also strongly encouraged.
• Expert in statistical and programming software including : Python, or Spark.
• Expert at industry analyses, including experience with fixed / brand marketing.
• Experience with causal machine learning in performant applications.
• Strong track record in performing high-quality analysis of data at scale.
30+ days ago