Sr Data Scientist Alexa Smart Home
Sr Data Scientist Alexa Smart Home
Posted on :
24-04-2025
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1 Vacancy
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Job Description
The Alexa Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights turn down the heat) to use cases spanning home security home entertainment and the home environment; we are evolving Alexa into an intelligent indispensable companion that automates daily routines simplifies interaction with appliances and electronics and alerts when something unusual is detected. You can be part of a team delivering features that are highly anticipated by media and well received by our customers.
As a Sr. Data Scientist you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models (LLMs). And you will have the satisfaction of working on a product your friends and family can relate to and want to use every day.
Key job responsibilities
Develop new inference and training techniques to improve the performance of LLMs for Smart Home control and automation
Develop robust techniques for synthetic data generation for training large models and maintaining model generalization
Mentoring junior scientists to improve their skills knowledge and ability to contribute to team projects
About the team
We are a team of Scientists Machine Learning Engineers and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence with features like Alexa Hunches that automatically control Smart Home devices.
We are interdisciplinary and we act like it. We ask each other questions and value our different perspectives.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical/mathematical software (e.g. R SAS Matlab or equivalent)
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary for this position ranges from $143200/year up to $239100/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
As a Sr. Data Scientist you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models (LLMs). And you will have the satisfaction of working on a product your friends and family can relate to and want to use every day.
Key job responsibilities
Develop new inference and training techniques to improve the performance of LLMs for Smart Home control and automation
Develop robust techniques for synthetic data generation for training large models and maintaining model generalization
Mentoring junior scientists to improve their skills knowledge and ability to contribute to team projects
About the team
We are a team of Scientists Machine Learning Engineers and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence with features like Alexa Hunches that automatically control Smart Home devices.
We are interdisciplinary and we act like it. We ask each other questions and value our different perspectives.
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
4 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical/mathematical software (e.g. R SAS Matlab or equivalent)
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary for this position ranges from $143200/year up to $239100/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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