Senior Applied Scientist US Fashion Fitness
Senior Applied Scientist US Fashion Fitness
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
We are an innovative team of scientists who use machine learning and statistical techniques to create stateoftheart solutions for providing better shopping experience for Amazons customers. We are looking for an experienced Applied Scientist to help design build and develop big impact models that improve customer experience. This leader will solve complex problems in one of the fastest growing segments of the Retail business Fashion and Fitness (Apparel Shoes Jewelry Watches Luggage Sports and Outdoors). A successful candidate will be a selfstarter comfortable with ambiguity and working in a fastpaced environment. This role requires an individual who strives to answer business/operational questions and who works across functional boundaries. The ideal candidate should also have a demonstrated ability to think strategically and analytically with a passion for innovation. You will build and deploy advanced algorithmic systems that help optimize millions of transactions every day. You will own endtoend business problems/metrics and directly impact the profitability and growth of the company. If you have an entrepreneurial spirit know how to deliver love to work with data are deeply technical highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the companys topline and bottomline we want to talk to you.
Key job responsibilities
Work with Product Engineering and peer scientists to formulate business problems into scientific ones
Build largescale data pipelines for training and evaluating the models using PySpark/SparkSQL
Extensively clean and explore the datasets
Train and evaluate ML models in a robust manner
Design and conduct live experiments to validate model performance
Automate model inference and monitoring and on AWS infrastructure
4 years of applied research experience
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $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
Work with Product Engineering and peer scientists to formulate business problems into scientific ones
Build largescale data pipelines for training and evaluating the models using PySpark/SparkSQL
Extensively clean and explore the datasets
Train and evaluate ML models in a robust manner
Design and conduct live experiments to validate model performance
Automate model inference and monitoring and on AWS infrastructure
4 years of applied research experience
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $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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