Director of Applied Science: Generative AI for CX

Amazon Science

Seattle (WA)

On-site

USD 263,000 - 350,000

Full time

7 days ago
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Job summary

Amazon Connect is seeking a Director of Applied Science to define and execute a unified science strategy across self-service, agent assistance, and manager support workloads. You will lead an existing applied science team and collaborate with Bedrock, AGI, Q, and Transcribe organizations to push generative AI frontiers.

You will shape product investments, mentor senior scientists, and ensure AI initiatives align with business goals while leveraging human-in-the-loop approaches when required.

Qualifications

  • MS in CS, ML, Statistics, Operations Research or similar.
  • 10 years of hands-on experience in predictive modeling and large data analysis.
  • Expertise in Machine Learning for large-scale generative models.
  • Strong ML breadth and depth.
  • Strong SQL skills.
  • Strong skills with Spark/Python/Perl (or similar).
  • Communication and data presentation skills.
  • Strong problem-solving ability.

Responsibilities

  • Define and execute a unified science strategy across Connect services and workloads.
  • Lead an applied science team and coordinate cross-AWS collaboration with Bedrock, AGI, Q, Transcribe.
  • Drive data-driven AI-powered optimization for self-service, agent, and manager support workloads.

Skills

Communication
Data presentation
Problem solving
ML breadth & depth

Education

MS in CS/ML/Statistics/OR
PhD in CS/ML/Statistics/OR

Tools

SQL
Spark
Python
Perl

Job description

Amazon Connect is seeking a Director of Applied Science to define and execute a unified science strategy across self-service, agent assistance, and manager support workloads. You will lead an existing applied science team and collaborate with Bedrock, AGI, Q, and Transcribe organizations to push generative AI frontiers.

You will shape product investments, mentor senior scientists, and ensure AI initiatives align with business goals while leveraging human-in-the-loop approaches when required.

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