Data Scientist NAS Mosaic
Data Scientist NAS Mosaic
Posted on :
27-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
27-04-2025
Job Description
Are you passionate about solving unique customerfacing problems in the Amazon scale Are you excited about utilizing statistical analysis machine learning data mining and leverage tons of Amazon data to learn and infer customer shopping patterns Do you enjoy working with a diversity of engineers machine learning scientists product managers and userexperience designers If so you have found the right match!
Fashion is extremely fastmoving visual subjective and it presents numerous unique problem domains such as product recommendations product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections inspiring and accurate recommendations and customer experience.
The mission of NAS Mosaic science team is to innovate and develop scalable ML solutions to provide personalized recommendations. The team is hiring a Data Scientist who has a solid background in Statistical Analysis Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets and is motivated to grow professionally as a Data Scientist.
Key job responsibilities
You will work on our Science team and partner closely with applied scientists data engineers as well as product managers UX designers and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights build segmentation models and improve customer experience by reducing retail returns.
You have excellent communication skills to be able to work with crossfunctional team members to understand key questions and earn the trust of senior leaders.
You are able to multitask between different tasks such as gap analysis of algorithm results integrating multiple disparate datasets doing business intelligence analyzing engagement metrics or presenting to stakeholders.
You thrive in an agile and fastpaced environment on highly visible projects and initiatives.
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
Experience applying theoretical models in an applied environment
Bachelors Degree
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.
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.
Fashion is extremely fastmoving visual subjective and it presents numerous unique problem domains such as product recommendations product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections inspiring and accurate recommendations and customer experience.
The mission of NAS Mosaic science team is to innovate and develop scalable ML solutions to provide personalized recommendations. The team is hiring a Data Scientist who has a solid background in Statistical Analysis Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets and is motivated to grow professionally as a Data Scientist.
Key job responsibilities
You will work on our Science team and partner closely with applied scientists data engineers as well as product managers UX designers and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights build segmentation models and improve customer experience by reducing retail returns.
You have excellent communication skills to be able to work with crossfunctional team members to understand key questions and earn the trust of senior leaders.
You are able to multitask between different tasks such as gap analysis of algorithm results integrating multiple disparate datasets doing business intelligence analyzing engagement metrics or presenting to stakeholders.
You thrive in an agile and fastpaced environment on highly visible projects and initiatives.
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
Experience applying theoretical models in an applied environment
Bachelors Degree
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.
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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