Austin, TX, United States
September 26, 2022
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Job Summary
DESCRIPTION
Amazon’s Automated Inventory Management (AIM) team is looking for passionate, hard-working, and talented individuals to join our fast paced, stimulating environment to help invent the future of business ownership with Technology, and to translate big data into actionable insights.
The AIM team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization. The charter of the SCOT team is to maximize Amazon’s return on our inventory investment in terms of Free Cash Flow and customer satisfaction. We accomplish this by determining how much inventory Amazon needs of each SKU and what to do if we have too much. This puts the Inventory Planning group at the nexus of operations, logistics, capacity planning, and our retail business teams.
As a Senior Data Scientist on the AIM team, you will design quantitative systems, forecasting models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build accurate predictive models and deploy automated software solutions to provide insights to business leaders at the most senior levels throughout the company. You will build models that make our data more actionable and help us make complex business decisions at scale.
Key Responsibilities
Implement statistical and machine learning methods to solve complex business problems
Research new ways to improve predictive and explanatory models
Directly contribute to the design and development of automated prediction systems and ML infrastructure
Build models that can detect supply chain defects and explain variance to the optimal state
Collaborate with other researchers, software developers, and business leaders to define the scientific roadmap for this team
To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scot
Basic Qualifications
Master’s degree (or Bachelor's degree + 5 years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science
5+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
3+ years of experience using data querying languages (e.g. SQL), scripting languages e.g. Python, or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
Bachelor or Master's degree in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative field
3+ years of hands-on experience in predictive modeling and machine learning
Proficiency in model development, model validation and model implementation
Proficiency working with R or Python
Experience leading, mentoring, and growing teams of scientists
Preferred Qualifications
Extensive knowledge and practical experience in several of the following areas: machine learning, time-series, statistics, deep learning, recommendation systems.
Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data.
The base pay range for this position in Colorado is $ 119,300 - 160,000 and New York is $ 119,300 - 160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Company - Amazon.com Services LLC
Job ID: A2071780
DESCRIPTION
Amazon’s Automated Inventory Management (AIM) team is looking for passionate, hard-working, and talented individuals to join our fast paced, stimulating environment to help invent the future of business ownership with Technology, and to translate big data into actionable insights.
The AIM team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization. The charter of the SCOT team is to maximize Amazon’s return on our inventory investment in terms of Free Cash Flow and customer satisfaction. We accomplish this by determining how much inventory Amazon needs of each SKU and what to do if we have too much. This puts the Inventory Planning group at the nexus of operations, logistics, capacity planning, and our retail business teams.
As a Senior Data Scientist on the AIM team, you will design quantitative systems, forecasting models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build accurate predictive models and deploy automated software solutions to provide insights to business leaders at the most senior levels throughout the company. You will build models that make our data more actionable and help us make complex business decisions at scale.
Key Responsibilities
Implement statistical and machine learning methods to solve complex business problems
Research new ways to improve predictive and explanatory models
Directly contribute to the design and development of automated prediction systems and ML infrastructure
Build models that can detect supply chain defects and explain variance to the optimal state
Collaborate with other researchers, software developers, and business leaders to define the scientific roadmap for this team
To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scot
Basic Qualifications
Master’s degree (or Bachelor's degree + 5 years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science
5+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
3+ years of experience using data querying languages (e.g. SQL), scripting languages e.g. Python, or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
Bachelor or Master's degree in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative field
3+ years of hands-on experience in predictive modeling and machine learning
Proficiency in model development, model validation and model implementation
Proficiency working with R or Python
Experience leading, mentoring, and growing teams of scientists
Preferred Qualifications
Extensive knowledge and practical experience in several of the following areas: machine learning, time-series, statistics, deep learning, recommendation systems.
Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data.
The base pay range for this position in Colorado is $ 119,300 - 160,000 and New York is $ 119,300 - 160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Company - Amazon.com Services LLC
Job ID: A2071780
