Amazons Devices Economic Value team enables measurement and optimization of Amazon Devices long-term value to help Amazon build better products for their customers. Delivering lasting value to customers is in Amazons DNA and we are at the core of how the Devices business prioritizes its investments in innovation and optimization on behalf of customers.
Join us to be a part of the team that is at the core of understanding how Amazon Devices drive deeper customer engagement and helps the business make decisions about how to optimize and balance between short term monetization and long term value creation for Amazon Device users. We are seeking a skilled Data Scientist to help us build the future of Devices and Services marketing measurement and its impacts on long term free cash flow for our business.
Key job responsibilities We are looking for a talented Data Scientist to 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. The Data Scientist will be responsible for partnering 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. We expect the Data Scientist to drive marketing measurement innovation leveraging current advances in machine learning and other modeling frameworks.
About the team Devices Science teams mission is to drive measurement and optimization of long term economic value of the Devices business that balances short term and long term tradeoffs across product lifecycle and drive clear value for Amazon shoppers. We leverage science advancements across causal inference structural modeling and machine learning to solve challenging business problems in Amazon Devices. The team spans scientists across a wide range of seniority tenure and specialization including economists data and applied scientists with dedicated product and engineering partners.
- 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 - Bachelors degree - 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.