Data Scientist, Device Economics, Devices Decision Science
Data Scientist, Device Economics, Devices Decision Science
Posted on :
09-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
09-05-2025
Job Description
Are you excited about using econometrics to make multimillion dollar decisions more science and data driven Are you interested in supporting Consumer Hardware device concepts from innovative idea inception to launch Do you want to work on an economics and data science team focused on tackling some of the hardest business questions within the Devices business at Amazon and then scaling those Statistics and Econometrics solutions via internal to Amazon tools Then this could be the role for you!
The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support over 100 devicespecific analyses a year on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plugall prior to launch. We are a crossfunctional product team working to scale econometrics through Amazon and beyond by incorporating science into our internal tools.
In this role you will support senior leadership decision meetings approving confidential funding requests (PRFAQs) for brand new devices and services. You will influence build decisions prior to receiving any customer signal. You will leverage science and tools such as conjoint demand models and machine learning models to produce these recommendations. As part of the stakeholderfacing arm of the team you will own relationships with decision makers to help improve the endcustomer experience by making the decisions sciencedriven. In parallel you will work with Scientists Economists and Product Managers to provide meaningful business solutions and increase the velocity quality and scope behind our recommendations.
Key job responsibilities
Develop and implement advanced statistical and machine learning models for demand estimation and pricing optimization in the Amazon Devices ecosystem.
Collaborate with science leadership to refine and execute longterm scientific roadmaps for the Device Economics team.
Design and conduct conjoint analyses to inform decisions across multiple product categories.
Apply forecasting techniques to predict market trends and product performance across various regions and sales channels (online and offline).
Develop data augmentation methodologies to enhance the quality and quantity of available data for analysis.
Analyze complex marketplace dynamics including new product launches marketplace expansions and software improvements to provide actionable insights.
Collaborate with crossfunctional teams to integrate economic expertise and macroeconomic trends into scientific applications for internal use.
Produce clear and concise reports and presentations to communicate findings and recommendations to stakeholders at various levels of the organization.
Collaborate with other data scientists and analysts to ensure consistency and quality of analytical approaches across the team.
Stay uptodate with the latest advancements in data science applied statistics and machine learning particularly in the context of consumer electronics.
About the team
The Device Economics team is at the forefront of demand estimation and pricing strategy for concept devices. We support a diverse range of devices and services from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions and beyond. As a crossfunctional Product team we are pioneering the scaling of econometrics throughout Amazon by integrating advanced scientific methodologies into internal tools and creating frameworks for broader adoption.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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.
The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support over 100 devicespecific analyses a year on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plugall prior to launch. We are a crossfunctional product team working to scale econometrics through Amazon and beyond by incorporating science into our internal tools.
In this role you will support senior leadership decision meetings approving confidential funding requests (PRFAQs) for brand new devices and services. You will influence build decisions prior to receiving any customer signal. You will leverage science and tools such as conjoint demand models and machine learning models to produce these recommendations. As part of the stakeholderfacing arm of the team you will own relationships with decision makers to help improve the endcustomer experience by making the decisions sciencedriven. In parallel you will work with Scientists Economists and Product Managers to provide meaningful business solutions and increase the velocity quality and scope behind our recommendations.
Key job responsibilities
Develop and implement advanced statistical and machine learning models for demand estimation and pricing optimization in the Amazon Devices ecosystem.
Collaborate with science leadership to refine and execute longterm scientific roadmaps for the Device Economics team.
Design and conduct conjoint analyses to inform decisions across multiple product categories.
Apply forecasting techniques to predict market trends and product performance across various regions and sales channels (online and offline).
Develop data augmentation methodologies to enhance the quality and quantity of available data for analysis.
Analyze complex marketplace dynamics including new product launches marketplace expansions and software improvements to provide actionable insights.
Collaborate with crossfunctional teams to integrate economic expertise and macroeconomic trends into scientific applications for internal use.
Produce clear and concise reports and presentations to communicate findings and recommendations to stakeholders at various levels of the organization.
Collaborate with other data scientists and analysts to ensure consistency and quality of analytical approaches across the team.
Stay uptodate with the latest advancements in data science applied statistics and machine learning particularly in the context of consumer electronics.
About the team
The Device Economics team is at the forefront of demand estimation and pricing strategy for concept devices. We support a diverse range of devices and services from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions and beyond. As a crossfunctional Product team we are pioneering the scaling of econometrics throughout Amazon by integrating advanced scientific methodologies into internal tools and creating frameworks for broader adoption.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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.
Employment Type
Full-Time
Key Skills
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