Data Scientist, Advertising Measurement and Optimization

Job description

DESCRIPTION

The Amazon Advertising Measurement team is looking for a data scientist to join our team to lead the development of statistical methods for ad measurement and optimization. This person in this role will be responsible for solving causal inference problems to measure the effectiveness of advertising across channels using a large and unique cross-channel advertising data asset. The incumbent will be responsible for inventing new approaches to drive a global spend of a few billion dollars annually. This is a hands-on leadership role and the candidate is expected to lead not only on the methodology front but also drive the culture for a team of dedicated junior scientists. The successful candidate will be a daring hands-on self-starter, comfortable with ambiguity, humble to seek feedback and learn from junior team members, bold to think big, has solid attention to detail and believes in challenging himself to raise the bar continuously.
Responsibilities include:
• Ensuring that the measurement practice leverages state of the art statistical methods and machine learning technology to measure effectiveness of advertising
• Work closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategies
• Build causal inference models required to retrospectively measure the financial impact of cross-channel advertising spend, and inform volume and mix of future spend
• Calibrate models through carefully designed experiments
• Develop a library of measurement, decision making and machine learning algorithms
• Work closely with business units and marketing leaders to enable data-driven decision making
• Work closely with engineering and product management teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at Amazon.
• Raise the bar on applications of machine learning for advertising measurement and optimization

Desired profile

BASIC QUALIFICATIONS

· Graduate degree (MS) in statistics, mathematics, economics or engineering.
· Advanced proficiency with statistical modeling and reporting.
· Ability to research, identify, evaluate, and implement modeling solutions for complex business problems
· Experience using R, MATLAB, and/or Python is required.
· Hands-on experience using Big Data Technologies
· Expert in SQL and Excel
· 2+ years of experience presenting data-focused research to upper management.