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Economist III - AMZ11300.6

Amazon

Economist III - AMZ11300.6

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1w ago

Employer: Amazon.com Services LLC
Position: Economist III - AMZ11300.6
Location: Seattle, WA

Multiple Positions Available:

Work with the chief economist and/or senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and/or operations. Apply the frontier of
economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. Build econometric models using data systems. Apply economic theory to solve business problems. Develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems. Apply tools from applied micro-econometrics (e.g. experimental design, difference-indifference, regression discontinuity, and IV) and forecasting (essential time series models). Leverage big data tools for data extraction. Write up and present analysis for distribution to various levels of management at Amazon.

(40 hours / week, 8:00am-5:00pm, Salary Range $159200 - $215300)

Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

PhD, or foreign equivalent, in Economics, Finance, or a related field and one year of research or work experience in the job offered or a related occupation. Employer will accept a Master’s degree, or foreign equivalent, in Economics, Finance, or a related field and three years of experience in the job offered or related occupation as equivalent to the PhD and one year of experience.

Must have one year of research or work experience in the following skill(s):

1. Private consulting, government, or academic research.
2. Use of program evaluation, forecasting, time series, panel data, and high dimensional problems.
3. Use of MATLAB, R, SAS, or Stata.
4. Knowledge of SQL.

The pay range for this position in Seattle, WA is $159200 - $215300 (yr); 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 by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

Preferred Qualifications

All applicants must meet all the above listed requirements.

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.

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0份报告

$181,968

年薪总额

基本工资

-

股票

-

奖金

-

$154,672

$209,264

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge