Sr. Applied Scientist, Amazon Devices
Sr. Applied Scientist, Amazon Devices
Posted on :
08-05-2025
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1 Vacancy
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Job Description
The Sr. Applied Scientist will be responsible for building advanced time series forecasting models for Amazon Devices using deep learning techniques and stateoftheart sequence modeling approaches. They will develop scalable accurate predictive models leveraging RNNs LSTMs and Transformer architectures to drive key decision making that supports critical business decisions (including pricing promotions and supply chain) for all of Amazon consumer hardware product lines WW. Collaborating with crossfunctional teams they will integrate these models into operational systems to enhance datadriven decisionmaking and optimize business outcomes. Strong expertise in time series analysis deep learning frameworks and computational efficiency will be key to success in this role.
Key job responsibilities
Build and implement advanced forecasting models using deep learning techniques with expertise in time series analysis (trends seasonality stationarity) and sequence modeling architectures (RNNs LSTMs GRUs Transformers) to drive decisions for pricing promotions and supply chain optimization.
Write efficient scalable production code in Python utilizing NumPy Pandas and deep learning frameworks (TensorFlow/Keras PyTorch) to develop and deploy models while collaborating with data engineers to ensure smooth integration into realtime systems.
Continuously optimize models through sophisticated feature engineering hyperparameter tuning and GPU acceleration techniques while implementing appropriate preprocessing strategies for handling missing values outliers and data normalization.
Evaluate and communicate model performance using industrystandard metrics (MAE RMSE MAPE) create compelling visualizations using Matplotlib and provide actionable recommendations to crossfunctional teams for pricing promotions and supply chain strategies.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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
Build and implement advanced forecasting models using deep learning techniques with expertise in time series analysis (trends seasonality stationarity) and sequence modeling architectures (RNNs LSTMs GRUs Transformers) to drive decisions for pricing promotions and supply chain optimization.
Write efficient scalable production code in Python utilizing NumPy Pandas and deep learning frameworks (TensorFlow/Keras PyTorch) to develop and deploy models while collaborating with data engineers to ensure smooth integration into realtime systems.
Continuously optimize models through sophisticated feature engineering hyperparameter tuning and GPU acceleration techniques while implementing appropriate preprocessing strategies for handling missing values outliers and data normalization.
Evaluate and communicate model performance using industrystandard metrics (MAE RMSE MAPE) create compelling visualizations using Matplotlib and provide actionable recommendations to crossfunctional teams for pricing promotions and supply chain strategies.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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