Offers “Amazon”

Expires soon Amazon

Business Intelligence Engineer

  • Seattle (King County)
  • Design / Civil engineering / Industrial engineering

Job description

DESCRIPTION

The Amazon Forecasting team seeks a Business Intelligence Engineer with strong analytical and communication skills to join our team. We develop sophisticated algorithms that involve learning from large amounts of past data, such as prices, promotions, similar products, and a product's attributes, in order to forecast the demand of over 10 million products. These forecasts are used to automatically order more than $200 million worth of inventory weekly, establish labor plans for over 10,000 employees, and predict the overall company's financial performance. The work is complex and important to Amazon. The better our forecasts, the more we can drive costs out of the supply chain, offer lower prices for our customers and more in-stock selection.

In a typical day, you will work closely with talented Machine Learning scientists, statisticians, software engineers, and various business groups. You will be working with cutting edge technologies that enable big data and parallelizable algorithms. You are an individual with outstanding analytical abilities, excellent communication skills, good business understanding, and technically savvy. A successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders.

Responsibilities
· Apply Statistical and Machine Learning methods to specific business problems and data
· Analyze forecast accuracy metrics to uncover trends and to find root causes of forecast inaccuracy
· Generate automatic scripts to identify anomalies in the forecast
· Build metrics to analyze key inputs to the forecasting system
· Build metrics to measure the output from the forecasting system: for example forecast distribution accuracy and impact of forecast accuracy on the overall Supply Chain
· Analyze data, run computational experiments, and fine-tune model parameters for the new forecasting models built by machine learning scientists
· Provide analytical support to business customers
· Provide business feedback to machine learning scientists and the Forecasting team
· Attend conference calls with business customers so as to educate them on the technical system

Desired profile

BASIC QUALIFICATIONS

A BS or MS in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or Economics
· 3+ years of relevant working experience in an analytical role involving data extraction and analysis
· Experience with SQL, UNIX, Hadoop/Hive
· Experience with a high-level modeling language such as MATLAB, R, Stata, etc.
· Excellent communication and interpersonal skills

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