Senior Applied Scientist, Sales Insights & GenAI Analytics

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

Benefits offered by this job

Health insurance

RSUs / stock-based compensation

Job summary

Amazon Web Services (AWS) is seeking a Senior Applied Scientist for the SIADS team to own high-impact machine learning solutions that drive AWS Sales. You will frame business questions, develop innovative models, and deploy solutions that influence field operations and strategy.

Lead technical direction on ambiguous problems, mentor scientists, and collaborate with customers across AWS Sales to deliver trusted, scalable analytics and GenAI products.

Qualifications

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

Responsibilities

• Own the full lifecycle of complex science problems: framing, data exploration, method selection, modeling, evaluation, and deployment.
• Set technical direction on ambiguous problems and make design decisions used by others.
• Partner with sales and business stakeholders to translate questions into well-scoped science and actionable recommendations.
• Mentor and guide other scientists to raise the team’s scientific bar.
• 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

ML modeling

Communication

Python

Education

PhD

Master's degree

Tools

SQL

Python

Job description

Amazon Web Services (AWS) is seeking a Senior Applied Scientist for the SIADS team to own high-impact machine learning solutions that drive AWS Sales. You will frame business questions, develop innovative models, and deploy solutions that influence field operations and strategy.

Lead technical direction on ambiguous problems, mentor scientists, and collaborate with customers across AWS Sales to deliver trusted, scalable analytics and GenAI products.