Sr Data Scientist Amazon Business

At Amazon Business we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.

Amazon Business Flywheel Inputs Science team is looking for Sr. Scientist to excel at the flywheel inputs of selection pricing and operations. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find research and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science for key AB problems including price setting selection additions and operations optimization. Amazon Business is a fast growing business sector. We need the leaders who can think big and drive their vision into a reality.

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.

The ideal candidate will have the Amazon leadership skills proven ability to develop enhance automate and manage science models from end to end. The ideal candidate will have data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to . The ideal candidate must have demonstrated ability to manage mediumscale automation and modeling projects identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally apply technical skills allowing the models to adapt to changing attributes. We are hiring the right talent and will adjust the job family based on the interview results to fit you in one of the following job families: Data Science Research Science Applied Science Economist and Machine Learning Engineer.



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 Amazons Intellectual Property through patents and internal and external publications

A day in the life
The scientist will develop enhance automate and manage science models from end to end. The scientist will also have the opportunity to present findings to cross functional team partners to drive improvements. He/she will work with other Applied/Research/Data Scientists Economists Data Engineers Software Development Engineers Program Managers and Business Partners to build analytical and science models. The scientist will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.


About the team
Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find research and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting and selection additions.

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
5 years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Masters degree

3 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience working with scientists economists software developers or product managers
Experience as a leader and mentor on a data science team
Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.