Applied Scientist, Amazon Devices
Applied Scientist, Amazon Devices
Posted on :
09-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
09-05-2025
Job Description
The Applied Scientist will develop and improve time series forecasting models for Amazon Devices with a specific focus on addressing the coldstart problem for new unlaunched devices. They will implement and refine machine learning models that can accurately forecast demand patterns across different price points and seasonal periods for new Amazon devices helping optimize inventory and assortment decisions before product launch. This role offers an excellent opportunity to tackle complex forecasting challenges where historical data is limited or nonexistent requiring innovative solutions to capture potential demand signals seasonal trends and price elasticity for unreleased products. The scientist will analyze how pricing strategies and seasonal events impact consumer behavior and incorporate these insights into predictive models to better anticipate market demand.
Key job responsibilities
Develop and implement forecasting models using Python focusing on techniques that address the coldstart problem for new Amazon Devices including transfer learning from similar products and incorporating external factors that may influence demand.
Apply deep learning frameworks (TensorFlow/Keras PyTorch) to build sequence models (RNNs LSTMs) that can effectively utilize limited prelaunch data and proxy information to forecast seasonal trends and pricesensitive demand for new devices.
Conduct sophisticated feature engineering tasks leveraging data from product attributes market trends and consumer preferences to create informative features for forecasting demand of unlaunched devices.
Evaluate model performance using appropriate metrics for coldstart scenarios create visualizations to illustrate forecast uncertainty and present findings to crossfunctional teams to inform launch strategies and initial inventory decisions.
Implement and continuously improve methodologies for incorporating early sales signals and rapidly adjusting forecasts as new Amazon Devices enter the market.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/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.
Key job responsibilities
Develop and implement forecasting models using Python focusing on techniques that address the coldstart problem for new Amazon Devices including transfer learning from similar products and incorporating external factors that may influence demand.
Apply deep learning frameworks (TensorFlow/Keras PyTorch) to build sequence models (RNNs LSTMs) that can effectively utilize limited prelaunch data and proxy information to forecast seasonal trends and pricesensitive demand for new devices.
Conduct sophisticated feature engineering tasks leveraging data from product attributes market trends and consumer preferences to create informative features for forecasting demand of unlaunched devices.
Evaluate model performance using appropriate metrics for coldstart scenarios create visualizations to illustrate forecast uncertainty and present findings to crossfunctional teams to inform launch strategies and initial inventory decisions.
Implement and continuously improve methodologies for incorporating early sales signals and rapidly adjusting forecasts as new Amazon Devices enter the market.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/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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