Amazon Books
Applied Science, no business category
AppliedScientistII
“Applied Scientist II at Amazon Books. Skills: Data science, Machine learning, Model development. Inspect science initiatives. Identify opportunities for application”
What You'll Achieve.
Enhance book reading & discovery experiences; Benefit customers and business operations; Meet customer needs; Meet team objectives
Industry & Context.
Solve complex problems; Data analysis; Customer requirements
What They're Looking For.
Must Have
Experience programming in Java, C++, Python or related language, Experience with SQL and an RDBMS or Data Warehouse
Nice to Have
Experience implementing algorithms using toolkits and self-developed code, Publications at top-tier peer-reviewed conferences or journals
What You'll Do.
Inspect science initiatives
Identify opportunities for application
Participate in team design discussions
Map business goals to scientific problems
Align business metrics with technical metrics
Spearhead design and implementation of new features
and implementation of project
Work with Software Development Engineers
Deliver production-ready solutions
and develop solutions
Demonstrate ability to use assumptions
Demonstrate ability to use data analysis
Demonstrate ability to use customer requirements
Solve complex problems
Write maintainable code
Follow engineering best practices
Follow scientific method best practices
Conduct design reviews
Conduct model validation
Conduct comprehensive testing
Maintain current knowledge of research trends
Apply rigorous scrutiny to results
Apply rigorous scrutiny to methodologies
Address complex customer challenges
Develop innovative solutions
Enhance reading and shopping experience
Collaborate with cross-functional partner teams
Ensure optimal data quality
Ensure robust model development
Ensure successful productionization of scientific solutions
Provide mentorship to other scientists
Conduct reviews of work
Contribute to development of team roadmaps
How You'll Work.
Team & Collaboration
Cross-functional teams; Partner teams; Fellow scientists
Process & Methodology
Prioritization discussions, Roadmaps
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