Amazon's Devices Economic Value team needs to measure and optimize the long-term value of Amazon Devices to help Amazon build better products for their customers. The team is looking for a Data Scientist to help build the future of Devices and Services marketing measurement and its impacts on long term free cash flow for the business.
Requirements
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Responsibilities
- Drive the development of Devices and Services own Marketing Mix Models, connecting marketing spend and impressions to their effects on long term free cash flow.
- Partner to develop the MMM framework that adapts to the unique characteristics of the Devices and Services business model, to drive marketing investment decisions across the Devices business.
- Drive marketing measurement innovation, leveraging current advances in machine learning and other modeling frameworks.
- Leverage science advancements across causal inference, structural modeling and machine learning, to solve challenging business problems in Amazon Devices.
Other
- Bachelor's degree
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
- The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market.
