Senior Applied Scientist, AI Tooling for Frontier

Amazon Inc.; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Amazon Inc. is seeking a Senior Applied Scientist to own high‑impact, end‑to‑end AI projects that empower AWS Sales and Frontier AI teams to understand customer needs and deliver scalable solutions.

You will lead framing, modeling, evaluation, and production deployment while setting technical direction for uncertain problems. You will collaborate with customers across AWS Sales, mentor scientists, and present complex insights clearly to executives, using Python, PySpark, and SQL to develop

Qualifications

• PhD or Master’s degree with 6+ years of ML modeling for business applications.
• Experience with SQL and Python scripting.
• Strong written and verbal communication to executives and non-technical leaders.
• Experience managing and deploying ML products.

Responsibilities

• Own the full lifecycle of complex science problems: framing, data exploration, modeling, evaluation, and deployment.
• Set technical direction on ambiguous problems and define design decisions.
• Partner with Sales and Delivery teams to translate business questions into scoped science and actionable recommendations.
• Raise the scientific bar through design reviews, mentorship, and hands-on guidance.
• Communicate methods, trade-offs, and results clearly to technical and non-technical audiences.
• Use Python, PySpark, and SQL for data analysis and model development.

Skills

SQL

Python scripting

Communication

ML product deployment

Education

PhD

Master’s degree

Job description

Amazon Inc. is seeking a Senior Applied Scientist to own high‑impact, end‑to‑end AI projects that empower AWS Sales and Frontier AI teams to understand customer needs and deliver scalable solutions.

You will lead framing, modeling, evaluation, and production deployment while setting technical direction for uncertain problems. You will collaborate with customers across AWS Sales, mentor scientists, and present complex insights clearly to executives, using Python, PySpark, and SQL to develop