Applied Scientist

5 days ago


Toronto, Ontario, Canada Amazon Full time
About the Role

As an Applied Scientist on Amazon's Sponsored Products team, you will play a key role in developing machine learning models and data analysis to drive business growth and improve customer experience. This is a unique opportunity to work on a high-impact project that combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Key Responsibilities
  • Design and develop machine learning models to drive traffic monetization and merchandise sales without compromising shopper experience.
  • Work closely with software engineers to implement end-to-end solutions in production, ensuring scalability and efficiency.
  • Conduct A/B experiments that affect hundreds of millions of customers, evaluating the impact of optimizations and communicating results to business stakeholders.
  • Collaborate with scientists and economists to model the interaction between organic sales and sponsored content, driving innovation in Amazon's marketplace.
  • Establish automated processes for large-scale data analysis, model development, validation, and serving.
  • Research new predictive learning approaches for the sponsored products business.
Requirements
  • 3+ years of experience building models for business applications.
  • PhD or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field.
  • Proficiency in programming languages such as Java, C++, Python, or related languages.
  • Experience in solving business problems through machine learning, data mining, and statistical algorithms.
Preferred Qualifications
  • Experience with Unix/Linux.
  • Professional software development experience.
About Amazon

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


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