Applied Scientist, Amazon

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Desirable

• We are looking for an accomplished and visionary machine learning expert to lead the Applied Science strategy for our Media Planning Science program
• In this role, you will work closely with business leaders, stakeholders, and cross-functional teams to drive program success through ML-driven solutions
• You will shape the applied science roadmap, promote a culture of data-driven decision-making, and deliver significant business impact using advanced data techniques and cutting-edge applied science methodologies
• Serve as the technical leader in Machine Learning, guiding efforts within the team and collaborating with other teams
• Conduct hands-on analysis and modeling of large-scale data to generate insights that boost traffic monetization and merchandise sales while maintaining a positive shopper experience
• Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity
• Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production
• Run A/B experiments, gather data, and perform statistical analysis to validate your models
• Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving
• Explore and research innovative machine learning approaches to push the boundaries of what’s possible