Amazon
Overview
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Senior Data Scientist on this team you will: Lead Data Science solutions from beginning to end. Deliver with independence on challenging large-scale problems with complexity and ambiguity. Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data. Build Machine Learning and statistical models to solve specific business problems. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Analyze historical data to identify trends and support optimal decision making. Apply statistical and machine learning knowledge to specific business problems and data. Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed. Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. Build decision-making models and propose effective solutions for the business problems you define. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. Responsibilities
Lead Data Science solutions from beginning to end. Deliver with independence on challenging large-scale problems with complexity and ambiguity. Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data. Build Machine Learning and statistical models to solve specific business problems. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Analyze historical data to identify trends and support optimal decision making. Apply statistical and machine learning knowledge to specific business problems and data. Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed. Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. Build decision-making models and propose effective solutions for the business problems you define. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. Basic Qualifications
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 4+ years of data scientist experience Bachelor's degree Experience with statistical models e.g. multinomial logistic regression Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience Experience managing data pipelines Experience as a leader and mentor on a data science team Company
Amazon.com Services LLC Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Research, Science, and Engineering Industries: Software Development Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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. Equity, sign-on payments, and other forms of compensation may be provided as part of a total package. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Senior Data Scientist on this team you will: Lead Data Science solutions from beginning to end. Deliver with independence on challenging large-scale problems with complexity and ambiguity. Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data. Build Machine Learning and statistical models to solve specific business problems. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Analyze historical data to identify trends and support optimal decision making. Apply statistical and machine learning knowledge to specific business problems and data. Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed. Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. Build decision-making models and propose effective solutions for the business problems you define. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. Responsibilities
Lead Data Science solutions from beginning to end. Deliver with independence on challenging large-scale problems with complexity and ambiguity. Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data. Build Machine Learning and statistical models to solve specific business problems. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Analyze historical data to identify trends and support optimal decision making. Apply statistical and machine learning knowledge to specific business problems and data. Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed. Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. Build decision-making models and propose effective solutions for the business problems you define. Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. Basic Qualifications
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 4+ years of data scientist experience Bachelor's degree Experience with statistical models e.g. multinomial logistic regression Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience Experience managing data pipelines Experience as a leader and mentor on a data science team Company
Amazon.com Services LLC Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Research, Science, and Engineering Industries: Software Development Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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. Equity, sign-on payments, and other forms of compensation may be provided as part of a total package. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr