Senior Data Science Manager, Amazon InTech, Item Data Quality

hace 2 semanas


Madrid, Madrid, España Amazon A tiempo completo

About the Role

As an Applied Scientist Manager in Amazon's International Technology group, you will lead a team of scientists to solve complex catalog quality problems using machine learning and data analysis solutions. You will be exposed to cutting-edge big data and machine learning technologies, as well as Amazon's catalog technology stack.

Key Responsibilities

• Identify opportunities for innovation and lead a team to apply machine learning solutions to automate manual processes, scale existing systems, and improve catalog data quality.
• Collaborate with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services.
• Influence the scientific roadmap of the team, setting the standards for scientific excellence, and work with state-of-the-art models, including image to text, LLMs, and GenAI.

Requirements

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business applications.
• 3+ years of scientists or machine learning engineers management experience.
• Knowledge of ML, NLP, Information Retrieval, and Analytics.
• Experience with leading a science team and building large scale deep learning solutions for business.



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