Economist


Job title: Economist

Firm: Amazon

Anticipated wage:

Pay in:

Location: Seattle, WA

Job date: Thu, 12 Might 2022 07:26:22 GMT

Firm Web site:

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Job description:
DESCRIPTION

Job abstract

Amazon Internet Companies (AWS) is obsessive about making certain the success of our clients. To this finish, we need to higher perceive every kind of buyer we now have and at what level of their Cloud journey they’d profit from the several types of assist AWS can present. For whom is momentary credit score extra useful than a reduction? What are the returns to salesperson effort for a mature vs. a brand new AWS buyer? What different buyer options inform us that it is time to attain out and construct a relationship? What suggestions would you make to the shopper?

We’re in search of somebody with a background in program/coverage analysis. ML abilities are an enormous plus right here, as you may be working to search out new patterns/clusters in massive datasets.

Fundamental Qualification

  • PhD in Economics or a associated discipline
  • Three years of labor expertise within the personal sector
  • Sturdy proficiency in at the least one of many following statistical software program packages: Python, R, Stata, or Matlab

Most popular {Qualifications}

  • Sturdy background in econometrics (e.g., forecasting, time collection, panel knowledge, program analysis, and/or excessive dimensional issues), chance and statistics, financial principle, and quantitative strategies
  • Sturdy empirical analysis monitor document in utilized macroeconomics, econometrics, finance, labor economics, public economics, industrial group, or a associated discipline
  • Confirmed expertise with the design and growth of machine studying options

Demonstrated potential to design options to actual world enterprise questions.

  • Sturdy verbal and written communication abilities (e.g., potential to put in writing and current narratives to totally different ranges of management).

Capability to work in a really fast-paced enterprise surroundings

  • Expertise with programming languages akin to Python, Java, C++, Ruby, and /or Large Information processing platforms such Hadoop, Map Scale back, Spark is a plus.
  • Capability to work in a fast-paced enterprise surroundings
  • Expertise with Enterprise Gross sales knowledge (e.g., SFDC)

Job Places: Seattle, WA, Dallas, TX, Boston, MA, Arlington, VA, Vancouver, Canada

Key job tasks

Discover heterogeneous remedy results to assist the enterprise prioritize interventions, use massive and small pattern strategies for causal inference.

Concerning the staff

We’re a staff of economists, engineers, knowledge scientists and analysis scientists who’re answerable for utilizing knowledge to assist maximize the productiveness of the hundreds of AWS gross sales reps working to develop the enterprise. We largely construct prototypes and write white papers, however as our merchandise develop into profitable and adopted we transfer them to manufacturing as effectively.

BASIC QUALIFICATIONS

  • PhD in Economics or intently associated discipline
  • PhD in Economics or a associated discipline
  • Three + years of expertise in personal sector or consulting
  • Sturdy proficiency in at the least one of many following statistical software program packages: Python, R, Stata, Matlab

PREFERRED QUALIFICATIONS

  • Sturdy background in a number of of the next: utilized econometrics, machine studying, chance and statistics, financial principle, econometric principle, and quantitative strategies
  • Demonstrated potential to design options to actual world enterprise questions.
  • Sturdy verbal and written communication abilities (e.g., potential to put in writing and current narratives to totally different ranges of management).
  • Capability to work in a really fast-paced enterprise surroundings
  • Expertise with programming languages akin to Java, C++, Ruby, and /or Large Information processing platforms such Hadoop, Map Scale back, Spark is a plus.
  • Capability to work in a fast-paced enterprise surroundings
  • Expertise with Enterprise Gross sales knowledge (e.g., SFDC)

Amazon is dedicated to a various and inclusive office. Amazon is an equal alternative employer and doesn’t discriminate on the premise of race, nationwide origin, gender, gender identification, sexual orientation, protected veteran standing, incapacity, age, or different legally protected standing. For people with disabilities who want to request an lodging, please go to https://www.amazon.jobs/en/incapacity/us.

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