Amazon
Data Scientist, Amazon Fashion
Amazon, Seattle, Washington, us, 98127
Job ID: 2735058 | Amazon.com Services LLCAre you passionate about solving unique customer-facing problems at Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining, and leveraging vast amounts of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diverse group of engineers, machine learning scientists, product managers, and user-experience designers? If so, you have found the right match!
Apply (by clicking the relevant button) after checking through all the related job information below.
Fashion is extremely fast-moving, visual, and subjective, presenting 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 who has a solid background in Statistical Analysis, Machine Learning, and Data Mining, along with 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, 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 multitask between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, conducting business intelligence, analyzing engagement metrics, or presenting to stakeholders.You thrive in an agile and fast-paced environment on highly visible projects and initiatives.BASIC QUALIFICATIONS - 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 scientist- 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and parameters that affect their performance- Experience applying theoretical models in an applied environmentPREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology companyAmazon 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 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 a number of 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.Posted:
August 20, 2024 (Updated about 1 hour ago)
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Apply (by clicking the relevant button) after checking through all the related job information below.
Fashion is extremely fast-moving, visual, and subjective, presenting 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 who has a solid background in Statistical Analysis, Machine Learning, and Data Mining, along with 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, 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 multitask between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, conducting business intelligence, analyzing engagement metrics, or presenting to stakeholders.You thrive in an agile and fast-paced environment on highly visible projects and initiatives.BASIC QUALIFICATIONS - 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 scientist- 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and parameters that affect their performance- Experience applying theoretical models in an applied environmentPREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology companyAmazon 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 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 a number of 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.Posted:
August 20, 2024 (Updated about 1 hour ago)
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