Amazon Sr Data Scientist Amazon Business 

United States, Washington, Seattle 

352016453

You will build the science models and the supporting structures needed to analyze, dive deep, and innovate the selection and pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging problems. You need be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. You need learn different aspects of the business and understand how to apply science and analytics to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.Key job responsibilities
• Contribute to AB Flywheel Inputs strategy development based on science models and data analysis
• Develop models to measure long term impact of seller behaviors
• Collaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data.
• Use optimization, statistical, machine learning and analytical techniques to create scalable solutions for business problems.
• Design, development and evaluation of highly innovative models for forecast, optimization and experimentation.
• Research, experiment and implement novel approaches.
• Work closely with other scientists in the team and across teams.
• Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.
• Use the best practices in science: data integrity, design, test, and implementation and documentation.
• Mentor and guide junior members in the team.
• Contribute to Amazon's Intellectual Property through patents and internal and external publicationsA day in the life

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)