Senior Applied Scientist, Sales Insights Analytics and Data Science; SIADS

Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS you can requisition compute power, storage, and many other services, gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly, with hundreds of thousands of companies in over 190 countries on the platform.

• Own the full lifecycle of complex science problems: problem framing, data exploration, method selection, modeling, evaluation, and production deployment.
• Set technical direction on ambiguous problems and make the design decisions that others build on.
• Partner with business stakeholders across Sales to turn open-ended business questions into well-scoped science, and translate results into recommendations leaders act on.
• Raise the scientific bar across the team through design reviews, mentorship, and hands-on guidance.
• Communicate methods, trade-offs, and results clearly to both technical and non-technical audiences.
• Use Python, PySpark, and SQL for data analysis and model development.

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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• PhD, or Master's degree and 6+ years of building machine learning models for business application experience
• Experience with SQL and Python scripting
• Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
• Experience managing and deploying ML products

• Experience working with stakeholders, or experience using financial models, KPIs, and data analysis to inform business decisions with proven business impact (e.g., financial savings, operational improvements, or customer benefits)
• PhD or equivalent research experience, or a Master's degree and experience in patents or publications at top-tier peer-reviewed conferences or journals
• Depth in large language models and agentic system
• Experience mentoring or…