Data Scientist, Amazon Connect

Overview

Do you want to join a brand-new team building an AI system that would disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?Amazon Connect is Do you want to join a brand-new team building an AI system that would disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?

What you'll do

• Do you want to join a brand-new team building an AI system that would disrupt the industry?
• Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?Amazon Connect is Do you want to join a brand-new team building an AI system that would disrupt the industry?
• Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?
• Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences.
• With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes.
• Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Lex, Polly, Lambda, S3, and Kinesis to provide a truly frustration free and natural customer experience.
• With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them.
• As a Data Scientist on our team, you will analyze data from massive data sets to categorize customer idiosyncrasies, identify outliers, and systematically detect anomalies that substantially affect the performance of our models.
• You will work closely with other senior technical leaders within the team and across AWS.
• You should know how to trace decisions in data from raw data through complex models to their impact business metrics.

Requirements

• Practical experience with Python, Go, Rust, AWS.
• Experience level: 2+ yrs.
• Strong written and verbal communication in English.
• Comfortable working on-site in New York, New York, USA.

Skills