Manager, Senior Economist, Marketing Measurement

Amazon • Seattle, WA

1d

About The Position

The Marketing Measurement & Performance Support (MAPS) organization is looking
for a Science Manager, interested in leading a team of Economists, Data
Scientists and Applied Scientists in designing a measurement system to solve one
of the most challenging business problems in marketing measurement. This
exceptional leader will develop solutions combining experimental evidence,
observational models and decision frameworks to redefine brand marketing
measurement.

The MAPS organization’s mission is to be the most trusted source of measurement
science solutions to drive marketing investment decisions across Amazon. The
MAPS team provides incrementality, efficiency measurement services and decision
support to marketing stakeholders across Amazon’s Stores suit of businesses.
MAPS applies industry leading causal inference models and designs experiments to
measure omni-channel effectiveness of marketing campaigns from these businesses
worldwide. Our outputs shape Amazon product and marketing teams’ decisions and
therefore how Amazon customers see, use, and value their experience with Amazon.
As a Science Manager, you will lead a team of scientists to develop
state-of-the-art models, while collaborating with other scientists, businesses,
marketers, and software teams to solve key challenges facing the teams. Such
challenges include measuring the incremental impact of multi-channel marketing
portfolios, estimating the impact on long term inter-related customer actions,
and scaling measurement solutions for WW marketplaces. Unlike many companies who
buy existing off-the-shelf marketing measurement systems, we are responsible for
studying, designing, and building systems to serve Amazon’s suite of businesses.
Our team members have an opportunity to be on the forefront of marketing
measurement thought leadership by working on some of the most difficult problems
in the industry with some of the best product managers, scientists, economists
and software developers in the business.

Requirements

• PhD in economics or equivalent
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
• 5+ Years of experience building large-scale Causal Inference and AI solutions

Nice To Haves

• Experience in applied economic analysis and with big data and machine learning or data science
• Experience building and growing teams of economists or machine learning scientists
• 5+ years of people management experience
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience with scripting language (e.g., Python, Java, or R)
• 5+ years of applied economics or statistics experience

Responsibilities

• In this role, you will be a people manager and a technical leader in Econometric research with significant scope, impact, and high visibility.
• You will own developing the next generation of Causal Marketing-Mix-Media (MMM) models combining experimental evidence with observational econometric techniques.
• Your solution will deliver to business leaders accurate and actionable incrementality estimates and recommendations to optimize their marketing portfolio.
• As a successful Science Manager, you can navigate ambiguity, lead problem solving, guide development of new frameworks, and credibly interface between technical teams and business stakeholders.
• You are an innovator who can push the limits on what’s scientifically possible with a razor sharp focus on measurable business impact.
• You will coach and guide scientists in your team across different job families including Economists, Data Scientists and Applied Scientists to grow the team’s talent and scale the impact of your work.

Benefits

• Amazon also offers comprehensive benefits including 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, and parental leave.

What This Job Offers

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