Are you interested in building econometrics demand and pricing models to guide multi-million dollar decision making across Amazon Devices? Are you excited about using Economics to consult with mini-startups within Amazon often seeking to produce new-to-world solutions to customer problems? Do you want to work on an Economics focused team tackling these challenges collaboratively and seeking to scale the insights into self service models and tools within Amazon? Well that's what we do; this could be the role for you!
A day in the life
In the average role on this team, you will spend time working directly on econometric models, investing in how to make those models and the software tools that support them better, using the model outputs to support critical business decisions, and using feedback from a variety of stakeholders (product management, finance, marketing) to inform the science roadmap and prioritize greenspace projects for yourself. In particular, this role is expected to focus on the Emerging Product Lines of new to world concepts where our internal partners need help applying Economics to the decisions they are making early in such products' lifetimes. Think the original Echo device but 3yrs before it launched; you're helping to get such concepts off the ground to launch them effectively. That involves a lot of teaching Economics to stakeholders, deep dives to create structure out of ambiguity in that space, and likely designing conjoint demand models that leverage surveys to get data on new to world features.
About the hiring group
The Device Economics team owns demand estimates, pricing recommendations, and return on investment calculations (including cannibalization) of concept devices, services, and subscriptions before customers know they exist. We use our models to support over 100 different such decisions every year ranging from estimating demand to decide how many of the next Echo device to build to pricing the next Kindle to whether or not to invest in producing the new Ring Always Home Cam drone. We work collaboratively to both support those decisions and use the feedback to invest in related science and product work like how many incremental sales would we get if the next Ring device was launched in Costco or how can we improve the MAPE of our multinomial logistic regression demand model.
· Use conjoints to create demand models end to end
· Deep dives applying Economics to ambiguously defined hardware and software products often only a few stages after being an idea.
· Interact directly with stakeholders to deliver recommendations and learn from their feedback
· Collaborate with Economists and Scientists on your team on defining and executing on the long term Science roadmap
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
· PhD in Economics or closely related field
· 2+ years of work experience in a stakeholder facing role
· Experience with conjoint surveys
· Experience with econometrics and statistics
· Proficient at python and/or R
· Comfort navigating ambiguity
· Knowledge, coursework, and/or dissertation in a field relevant to this role
· Experience collaborating with other Scientists
· Excellent verbal communication
· The ability to write both Technical and non-Technical documents
· Experience and interest in teaching Economics to others