Amazon
Data Scientist, Amazon Fashion
Amazon, Seattle, Washington, us, 98127
Are you passionate about solving unique customer-facing problems at Amazon scale? Are you excited about utilizing statistical analysis, machine learning, and data mining to learn and infer customer shopping patterns? Do you enjoy working with a diverse team of engineers, machine learning scientists, product managers, and user-experience designers? If so, you have found the right match!
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.Fashion is extremely fast-moving, visual, subjective, and 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 an exceptional customer experience.
The mission of the Fit Science team as part of Fashion Tech is to innovate and develop scalable ML solutions to provide personalized fit and size recommendations when Amazon Fashion customers evaluate apparel or shoes online. The team is hiring a Data Scientist with a solid background in Statistical Analysis, Machine Learning, and Data Mining, and a proven record of effectively analyzing large complex heterogeneous datasets, who 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, 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 and informing 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 work with cross-functional team members to understand key questions and earn the trust of senior leaders.You are able to multi-task 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 fast-paced environment on highly visible projects and initiatives.
Minimum Requirements
3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)2+ years of experience as a data scientist3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performanceExperience applying theoretical models in an applied environmentExperience in Python, Perl, or another scripting languageExperience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit this link.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 link.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.Fashion is extremely fast-moving, visual, subjective, and 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 an exceptional customer experience.
The mission of the Fit Science team as part of Fashion Tech is to innovate and develop scalable ML solutions to provide personalized fit and size recommendations when Amazon Fashion customers evaluate apparel or shoes online. The team is hiring a Data Scientist with a solid background in Statistical Analysis, Machine Learning, and Data Mining, and a proven record of effectively analyzing large complex heterogeneous datasets, who 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, 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 and informing 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 work with cross-functional team members to understand key questions and earn the trust of senior leaders.You are able to multi-task 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 fast-paced environment on highly visible projects and initiatives.
Minimum Requirements
3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)2+ years of experience as a data scientist3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performanceExperience applying theoretical models in an applied environmentExperience in Python, Perl, or another scripting languageExperience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit this link.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 link.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr