Intern - Economics, Private Brands - Intelligence
New York, New York, USA
Full Time Internship Entry-level / Junior USD 111K - 193K
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as familiarity with Python is necessary.
These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.
Roughly 85% of previous cohorts have converted to full time economist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
About the team
The Amazon Private Brands science advance team applies Machine Learning, Statistics and Econometrics/economics to solve high-impact business problems, develop prototypes for Amazon-scale science solutions, and optimize key business functions of Amazon Private Brands and other Amazon orgs. We are an interdisciplinary team, using science and technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon, covering areas such as pricing, discovery, negotiation, forecasting, supply chain and product selection/development.
PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
Experience working with large data sets
Knowledge of econometrics
Familiarity with Python
Attention to detail
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55.91/hr in our lowest geographic market up to $96.63/hr 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. 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.
These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.
Roughly 85% of previous cohorts have converted to full time economist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
About the team
The Amazon Private Brands science advance team applies Machine Learning, Statistics and Econometrics/economics to solve high-impact business problems, develop prototypes for Amazon-scale science solutions, and optimize key business functions of Amazon Private Brands and other Amazon orgs. We are an interdisciplinary team, using science and technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon, covering areas such as pricing, discovery, negotiation, forecasting, supply chain and product selection/development.
Basic Qualifications
PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
Preferred Qualifications
Experience with SQLExperience working with large data sets
Knowledge of econometrics
Familiarity with Python
Attention to detail
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55.91/hr in our lowest geographic market up to $96.63/hr 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. 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.
Job stats:
2
0
0
Tags: Econometrics Economics Machine Learning PhD Python SQL Statistics
Perks/benefits: Career development Equity / stock options
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Scientist II jobsData Engineer II jobsSr. Data Engineer jobsPrincipal Data Engineer jobsStaff Data Scientist jobsBusiness Intelligence Analyst jobsStaff Machine Learning Engineer jobsData Science Manager jobsData Manager jobsPrincipal Software Engineer jobsData Science Intern jobsJunior Data Analyst jobsSoftware Engineer II jobsDevOps Engineer jobsBusiness Data Analyst jobsData Specialist jobsData Analyst Intern jobsSr. Data Scientist jobsLead Data Analyst jobsStaff Software Engineer jobsResearch Scientist jobsAI/ML Engineer jobsData Engineer III jobsSenior Backend Engineer jobsBI Analyst jobs
NLP jobsAirflow jobsOpen Source jobsEconomics jobsKafka jobsTerraform jobsKPIs jobsMLOps jobsLinux jobsNoSQL jobsJavaScript jobsPhysics jobsComputer Vision jobsGoogle Cloud jobsData Warehousing jobsRDBMS jobsScikit-learn jobsPostgreSQL jobsBanking jobsGitHub jobsScala jobsData warehouse jobsHadoop jobsStreaming jobsPandas jobs
R&D jobsdbt jobsOracle jobsBigQuery jobsCX jobsClassification jobsLooker jobsDistributed Systems jobsPySpark jobsReact jobsScrum jobsRAG jobsRedshift jobsRobotics jobsJira jobsELT jobsIndustrial jobsMicroservices jobsPrompt engineering jobsGPT jobsSAS jobsNumPy jobsData Mining jobsData strategy jobsMySQL jobs