Amazon
Data Scientist, Amazon Private Brands Intelligence - Sourcing Guidance
Amazon, San Diego, California, United States, 92189
Job ID: 2755655 | Amazon.com Services LLCAmazon Private Brands is looking for a Data Scientist to join our Private Brand Intelligence (PBI) Sourcing Guidance team. PBI applies Machine Learning, Statistics, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business and develop statistical models and algorithms to drive strategic business decisions and improve operations.About the team
We are an interdisciplinary team of Scientists, Economists, and Engineers, incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.About the role
You will work with business leaders, PMs, scientists, and economists to deep dive existing business problems, translate them into business and functional requirements and design concrete deliverables. These deliverables can include the design, development, testing of new in-house statistical models/ML models/Optimization engines, etc. and/or partnering with our sister teams to develop an improved version of an existing model/system. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems and enable measurable actions on the consumer economy. We are particularly interested in candidates with experience applying stat, ML and OR concepts to business problems.BASIC QUALIFICATIONS
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience- 2+ years of data scientist experience- 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- 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 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.
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We are an interdisciplinary team of Scientists, Economists, and Engineers, incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.About the role
You will work with business leaders, PMs, scientists, and economists to deep dive existing business problems, translate them into business and functional requirements and design concrete deliverables. These deliverables can include the design, development, testing of new in-house statistical models/ML models/Optimization engines, etc. and/or partnering with our sister teams to develop an improved version of an existing model/system. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems and enable measurable actions on the consumer economy. We are particularly interested in candidates with experience applying stat, ML and OR concepts to business problems.BASIC QUALIFICATIONS
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience- 2+ years of data scientist experience- 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- 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 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.
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