Data Scientist

Job description

DESCRIPTION

Amazon.com Services, Inc. is looking for a motivated individual with strong analytical skills and practical experience to join our Modeling and Optimization team. We are hiring specialists at all levels into our scientific team with expertise in statistical methods, machine learning, analysis of complex data, and algorithm design.

Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon's worldwide fulfillment networks in North America, European, and Japan, China, and India as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. You will also improve the efficiency of capital investment by helping the fulfillment centers to improve storage utilization and the effective use of automation. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools.

The ideal candidate will have good communication skills with both technical and business people with ability to speak at a level appropriate for the audience.

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.

· Experience in SQL, R, Python, or another scripting language; command line usage; experience in Java

· Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis

· Knowledge of various machine learning techniques and key parameters that affect their performance

· 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

· Excellent written and verbal communication skills for both technical and non-technical audiences