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(Closed)Amazon

Data Scientist, Modeling and Optimization

  • +2
  • +11
  • US
    District of Columbia, United States
Show interest
  • +2
  • +11
  • US
    District of Columbia, United States

About

Description

Amazon’s Modeling and Optimization Team (MOP) is looking for a passionate individual with strong optimization and analytical skills to join us in the endeavor of designing and planning the most complex supply chain in the world.

The team is responsible for optimizing the global supply chain for Amazon.com and ensuring that the company is able to inbound goods from seller and vendors, transport them to their target fulfillment center, and deliver to our customers as quickly, accurately, and cost effectively as possible. We work on problems ranging from network design to inventory management, in order to support strategic decisions. It is a terrific opportunity to have a direct impact in the business while pushing the boundaries of science.

About The Team

https://amazon.jobs/en/internal/teams/mop

Basic Qualifications

2+ years of data scientist experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience Experience applying theoretical models in an applied environment Master's degree in operations research, optimization, analytics, statistics, econometrics, or equivalent quantitative field

Preferred Qualifications

Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Experience with data modeling, warehousing and building ETL pipelines

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 $125,500/year in our lowest geographic market up to $212,800/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. 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.

Company

- Amazon.com Services LLC

Job ID: A2994972 #J-18808-Ljbffr

Nice-to-have skills

  • Optimization
  • Data Analysis
  • Machine Learning
  • Statistical Modeling
  • SQL
  • Python
  • R
  • SAS
  • Matlab
  • Data Modeling
  • Data Warehousing
  • District of Columbia, United States

Work experience

  • Data Engineer
  • Data Scientist

Languages

  • English