Data Scientist, Device Economics, Economic and Pricing Science

Device Economics (DEcon) is looking for a Data Scientist experienced in causal inference machine learning and scaled systems to advance critical resource allocation and pricing decisions in the Amazon Devices org. This role leads methods innovation and act as thought leader to Devices finance and business executives.

Output will be included in scaled systems to automate existing processes and to maximize business and customer objectives.

Amazon Devices designs and builds Amazon firstparty consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100 products across several product categories (ereaders Kindle tablets Fire Tablets smart speakers and audio assistants Echo wifi routers eero and video doorbells and cameras Ring and Blink) for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches new marketplace launches and improvements to existing devices through software improvements. The Device Economics team leads in analyzing these complex marketplace dynamics to enable sciencedriven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends and including both in scientific applications for use by internal analysts to provide deep understanding of customer preferences. Our teams outputs inform product development decisions investments in future product categories product pricing and promotion and bundling across complementary product lines. We have achieved substantial impact on the Devices business and will achieve more.

Device Economics seeks an experienced Data Scientist adept in measuring customer preferences and behaviors with proven capacity to innovate scale measurement drive rigor and mentor talent.

The candidate will work with Amazon Devices science leadership to refine science roadmaps models and priorities for innovation and simplification and advance adoption of insights to influence important resource allocation and prioritization decisions. Effective communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.

Bachelors degree
2 years of data scientist experience
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
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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.