Amazon
Director - Applied Science, Amazon Connect
$262K–$350K
Seattle, WA +1 · Director · Full-time · Posted Oct 27, 2026
- Location
- Seattle, WA
New York, NY - Experience
- 10 years of hands-on experience in predictive modeling and large data analysis; preferred: 15 years of industry experience in ML.
- Education
- MS in CS, Machine Learning, Statistics, Operations Research, or similar; preferred: PhD in Computer Science, Machine Learning, Statistics, or Operations Research.
About the job
Lead the applied science strategy and organization for Amazon Connect’s AI-powered customer engagement experiences across self-service, agent assistance, and manager assistance.
What you'll do
- Define and execute a unified science strategy and aligned organizational plan for continuous optimization across Connect experiences.
- Lead the existing applied science team and potentially data integrations engineers; identify needs for additional applied scientists.
- Collaborate on science initiatives across AWS organizations, including Bedrock, AGI, Q, and Transcribe.
What they ask for
- MS in CS, Machine Learning, Statistics, Operations Research, or similar.
- 10 years of hands-on experience in predictive modeling and large data analysis.
- Expertise in Machine Learning applied to large-scale generative models, with strong ML breadth and depth.
- Strong skills with SQL and Spark/Python/Perl (or similar); communication, data presentation, and problem-solving skills.
Nice to have
- PhD in Computer Science, Machine Learning, Statistics, or Operations Research.
- 15 years of industry experience in ML; superior ML breadth and depth, expert SQL and Spark/Python/Perl (or similar), and superior problem solving.
Pay
288,700.00 - 350,000.00 USD annually (base salary); 262,500.00 - 350,000.00 USD annually (base salary)
Tools
Machine Learning, SQL, Spark, Python, Perl, Bedrock, AGI, Q
AI focus
Define science strategy and lead generative AI and machine learning innovation for AI-powered self-service, agent assistance, manager assistance, and customer engagement experiences.
Model-written summary · the original posting is authoritative