Economist II, POE

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Analysis Skills, Artificial Intelligence (AI), Business Operations, Business Strategy, Data Analysis, Data Formats, Data Modeling, Data Science, Develop Methodologies, Economic Analysis, Economics, Financial Management, Model Validation, Operations Processes, Partner Sales, Policy Development, Power Amplifier, Problem Solving Skills, Prototyping, Python Programming/Scripting Language, R Programming Language, Requirements Management, Scala Programming Language, Team Player, Testing
LOCATION
Seattle, WA
POSTED
30+ days ago

Economists at Amazon are expected to work directly with our senior management and scientists from other fields on key business problems faced across Amazon. We are looking for economists who are able to work with business partners to hone complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.

Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work in a team setting with individuals from diverse disciplines and backgrounds. Ideal candidates will own the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.

Key job responsibilities

  • Collaborate with economists, data scientists, financial managers, and business leaders to define product requirements, provide science support, and communicate feedback.
  • Implement economics methods to solve specific business problems utilizing code (Python, R, Scala, etc.).
  • Improve existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
  • Presenting data in a format that is immediately useful to answer the critical business questions.

About the team

The Perfect Order Experience (POE) Econ team serves as POE teams trusted economics partner, enhancing business strategy and operational effectiveness across POE and Selling Partner Services (SPS) through economic analysis and insights. We focus on advancing POEs goals towards the perfect order experience vision while delivering value to broader teams where strategic alignment exists. Through rigorous analytical frameworks, we help leaders navigate complex business and operational challenges. We embrace AI to revolutionize how we work and amplify our strategic contributions.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles