Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

  • Internship
  • Seattle (King)

Job description



DESCRIPTION

As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, scientists, and software developers to drive improvements in Amazon's Last Mile delivery network. Successful candidates will have a deep knowledge of data extraction, cleaning, presentation, and statistical analysis/modelling methods.

Key Responsibilities:
· Develop successful models and algorithms in support of Amazon’s Last Mile Delivery network
· Work on cross-functional teams delivering on demanding projects.
· Functionally decompose complex problems into simple, straight-forward solutions.
· Share knowledge in state-of-the-art statistics and machine learning research applicable to our problem space.

If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.

PREFERRED QUALIFICATIONS

· Experience working with data visualization tools and creating data visualization concepts. (Excel, Tableau, or similar)
· Familiarity with AWS RedShift and other distributed computing technologies
· Knowledge of various machine learning techniques and key parameters that affect their performance
· Experience working in very large data warehouse environments

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

Desired profile



BASIC QUALIFICATIONS

· Masters with two years of experience or a Bachelors with five years of experience
· Demonstrated strength in SQL, data modeling, ETL development, and data warehousing.
· Experience in R, Python, or another scripting language; command line usage
· Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects
· Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams

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