Senior Research Data Scientist

The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on 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. We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
Provide customer and market feedback to product and engineering teams to help define product direction
AWS values diverse experiences. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Here at AWS, it’s in our nature to learn and be curious. You’ll find knowledge-sharing, mentorship and other career-advancing resources to help you develop into a well-rounded professional.
We value work-life harmony with flexibility as part of our working culture, supporting you at work and at home.
Bachelor’s degree and 8 years of experience or Master’s degree and 4 years of experience

• 5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
• 5+ years of hands-on experience with Python to build, train, and evaluate models
• Master’s or PhD in computer science, engineering, mathematics, operations research, or a highly quantitative field
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
• Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
• Experience with design, development, and optimization of high-quality prompts and templates that guide LLM behavior
• Hands-on experience building cloud applications

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