Data Scientist
New York, New York, USA
Amazon.com
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Job summary
Work at the intersection of data science and economics.
Amazon's Advertising Impact Team is looking for a Data Scientist to help and be part of a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data.
This team is responsible for modeling short-term and long-term customer behavior in relation to advertising using state of the art econometrics and machine learning as well as sizing and running experiments. This role requires presenting results to some of the most senior leaders of the company.
If you have a background in economics, statistics, or mathematics and have a passion for solving large, impactful problems, this is the job for you.
About Amazon's advertising business:
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace team optimizes the systems and ad placements to match demand with supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for Advertisers to meet their business objectives and continue to build a big, sustainable business that helps Amazon continuously innovate on behalf of all customers.
· Bachelor's Degree
· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 2 years working as a Data Scientist
• Experience applying various econometric and machine learning techniques, and understanding their interpretation and performance.
• Strong troubleshooting and problem solving skills.
• Experience working on causal impact questions.
• Excellent writing skills for both technical and business-facing documents.
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.
Work at the intersection of data science and economics.
Amazon's Advertising Impact Team is looking for a Data Scientist to help and be part of a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data.
This team is responsible for modeling short-term and long-term customer behavior in relation to advertising using state of the art econometrics and machine learning as well as sizing and running experiments. This role requires presenting results to some of the most senior leaders of the company.
If you have a background in economics, statistics, or mathematics and have a passion for solving large, impactful problems, this is the job for you.
About Amazon's advertising business:
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace team optimizes the systems and ad placements to match demand with supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our goals are to help buyers discover new products they love, be the most efficient way for Advertisers to meet their business objectives and continue to build a big, sustainable business that helps Amazon continuously innovate on behalf of all customers.
Basic Qualifications
· Bachelor's Degree
· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 2 years working as a Data Scientist
Preferred Qualifications
• Advanced degree in Statistics, Applied Math, Economics, Computer Science, or a related quantitative field with at least 2 years of working experience as a Data Scientist.• Experience applying various econometric and machine learning techniques, and understanding their interpretation and performance.
• Strong troubleshooting and problem solving skills.
• Experience working on causal impact questions.
• Excellent writing skills for both technical and business-facing documents.
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.
Tags: Big Data Computer Science Data Analytics Econometrics Economics Engineering Machine Learning Mathematics Matlab Python R Research SAS SQL Statistics
Perks/benefits: Career development Startup environment
Region:
North America
Country:
United States
Job stats:
16
1
0
Category:
Data Science Jobs
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