Data Scientist, AWS, Industries

2 days ago


Miami, Florida, United States Amazon Services Inc Full time
About the Role

We are seeking a highly skilled Data Scientist to join our AWS Industries team. As a Data Scientist, you will work closely with our AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges.

You will interact with customers directly to understand their business problems, help them implement generative AI solutions, and deliver briefing and deep dive sessions to customers and guide them on adoption patterns and paths to production.

You will create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders.

You will provide customer and market feedback to Product and Engineering teams to help define product direction.

About the Team

The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.

You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems.

Key Responsibilities
  • Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges
  • Interact with customers directly to understand their business problems, help them implement generative AI solutions, and deliver briefing and deep dive sessions to customers and guide them on adoption patterns and paths to production
  • Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders
  • Provide customer and market feedback to Product and Engineering teams to help define product direction
About Amazon

Amazon is committed to a diverse and inclusive workplace. We value diverse experiences and encourage candidates from all backgrounds to apply.

We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

For individuals with disabilities who would like to request an accommodation, please visit our website.


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