The AWS Partner Intelligence Science team is hiring an Applied Scientist to develop science products that support AWS initiatives to grow AWS Partners. The team is seeking candidates with strong background in machine learning and engineering, creativity, curiosity, and great business judgment. As an applied scientist on the team, you will work on targeting and lead prioritization related AI/ML products, recommendation systems, and deliver them into the production ecosystem. You are comfortable with ambiguity and have a deep understanding of ML algorithms and an analytical mindset. You are capable of summarizing complex data and models through clear visual and written explanations. You thrive in a collaborative environment and are passionate about learning.
Key job responsibilities
- Work with customers, product managers, scientists, and engineers to deliver high-quality science products
- Experiment with large amounts of data to deliver the best possible science solutions
- Design, build, and deploy innovative ML solutions to impact AWS Co-Sell initiatives
About the team
The AWS Partner Intelligence team is the center of Analytics, Insights, and Science supporting the AWS Specialist Partner Organization on its mission to provide customers with an outstanding experience while working with AWS partners. The Partner Intelligence Science team builds science solutions to boost productivity and accelerate AWS and AWS partners' revenue growth.
Key job responsibilities
- Work with customers, product managers, scientists, and engineers to deliver high-quality science products
- Experiment with large amounts of data to deliver the best possible science solutions
- Design, build, and deploy innovative ML solutions to impact AWS Co-Sell initiatives
About the team
The AWS Partner Intelligence team is the center of Analytics, Insights, and Science supporting the AWS Specialist Partner Organization on its mission to provide customers with an outstanding experience while working with AWS partners. The Partner Intelligence Science team builds science solutions to boost productivity and accelerate AWS and AWS partners' revenue growth.