Amazon
Data Scientist, Amazon Private Brands Intelligence - Sourcing Guidance
Amazon, Los Angeles, California, United States,
Job ID: 2817757 | 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 experience2+ years of data scientist experience3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experienceExperience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
Experience 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 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:
September 30, 2024 (Updated 1 day ago)
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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 experience2+ years of data scientist experience3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experienceExperience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
Experience 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 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:
September 30, 2024 (Updated 1 day ago)
#J-18808-Ljbffr