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Data Scientist, Amazon Connect

Job in New York City, Richmond County, New York, USA
Listing for: AmazonWebServices
Full Time position
Listed on 2026-10-23
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are.

We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.
   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 on business metrics.

Experience with machine learning explainability is a plus. You should be able to translate well-defined business problems into data science problems, and you should be able to solve these problems using appropriate assumptions, methodologies, and data science best practices. Our team is at an early stage so you will have significant impact on our deliverables with no operational load from existing models/systems.
   We have a rapidly growing customer base and an exciting charter in front of us that includes solving highly complex engineering and algorithmic problems. We are looking for passionate, talented, and experienced people to join us to innovate on this new service that addresses customer needs to build modern contact centers in the cloud. The position represents a rare opportunity to be a part of a fast-growing business soon after launch and help shape the technology and product as we grow.

You will be playing a crucial role in developing the next generation contact center and get the opportunity to design and deliver scalable, resilient systems while maintaining a constant customer focus.
   Learn more about Amazon Connect here:
    job responsibilities
• Categorizing Customer Idiosyncrasies:
As we expand to more customers we are discovering that they use our product in very different ways and that poses issues for our models. Effectively summarizing these differences (for example X% of customers do Y) would be immensely helpful.
   
• Detecting and Cleaning Up Outliers:
We have situations where outliers have a huge impact on model outputs. You will help us develop mechanisms to clean up outliers for downstream consumption.
   
• Deep Diving Customer Issues:
Customers have longstanding traditions and trusted formulas for managing their contact centers. When our formulas differ from theirs we need to deep dive these discrepancies and determine if there is an issue with our model…
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