Identify opportunities to improve Seller Partner (SP) growth and translate them into science problems using GenAI solutions.
Design and execute roadmaps for complex science projects to enhance SP experience and create long-term value for shoppers.
Collaborate with engineering partners to meet latency and system constraints; communicate innovations to internal and external scientific audiences.
Contribute to research with scientists across Amazon and academia; publish findings where appropriate.

Preferred:

3+ years of experience with data querying languages (SQL) and scripting languages (Python) or statistical software (R, SAS, Matlab).
2+ years in a data science role.
3+ years of ML/statistical modeling and data analysis tools/techniques; familiarity with model parameters affecting performance.
Experience applying theoretical models in an applied environment.
PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field.
Experience in ML or data science at a large technology company.
Demonstrated experience leveraging generative AI tools to enhance workflow and craft prompts; ability to evaluate AI-generated outputs.
Experience identifying opportunities to integrate AI solutions into products and services to drive business value.
136,000 USD annually; base salary plus sign-on payments and RSUs; final compensation based on experience/location.

About the role

Identify opportunities to improve Seller Partner (SP) growth and translate them into science problems using GenAI solutions.
Design and execute roadmaps for complex science projects to enhance SP experience and create long-term value for shoppers.
Collaborate with engineering partners to meet latency and system constraints; communicate innovations to internal and external scientific audiences.
Contribute to research with scientists across Amazon and academia; publish findings where appropriate.

Preferred:

3+ years of experience with data querying languages (SQL) and scripting languages (Python) or statistical software (R, SAS, Matlab).
2+ years in a data science role.
3+ years of ML/statistical modeling and data analysis tools/techniques; familiarity with model parameters affecting performance.
Experience applying theoretical models in an applied environment.
PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field.
Experience in ML or data science at a large technology company.
Demonstrated experience leveraging generative AI tools to enhance workflow and craft prompts; ability to evaluate AI-generated outputs.
Experience identifying opportunities to integrate AI solutions into products and services to drive business value.
136,000 USD annually; base salary plus sign-on payments and RSUs; final compensation based on experience/location.

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Based on: Data Scientist II

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