Do you love data? Do you have a passion for learning new technology? Do you want to make large scale impact?
Join the Operations Compensation team. We are an analytics team that supports Amazon’s Global Operations in evaluating the employee life cycle. We use data to influence the way Amazon grows and scales our business by advising on compensation strategies for over a million employees worldwide.
We are looking for a Sr. Data Scientist to help us extract meaning from large volumes of data to make business decisions. This role will help establish the science vision, strategy, and roadmap for our team and work with senior leadership in the organization to make it happen. They will be a senior technical advisor for the team. The right candidate knows and loves working with new ever-evolving technology, can model multi-dimensional datasets, and can partner effectively with business leaders to answer key questions. They are analytical and creative. They work efficiently and routinely to deliver the optimal solutions for our customers. They have performed complex and business critical analyses that led to high impact for their business. They show strong judgement in making technical trade-offs between short- and long-term business objectives.
Key job responsibilities
In this role, you will have the opportunity to display and develop your skills in the following areas:
• Engage directly with Amazon executive leadership to recommend business intelligence solutions.
• Develop forecasting models or improve existing approaches using scalable techniques.
• Partner with customers to define the data elements and data structures that the team should leverage to enable analytical capabilities.
• Design and implement applications that enable business leaders to build their own scenarios using pre-defined forecasting models.
• Collaborate with Economists on statistical models and techniques to conduct analysis.
• Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.
• Make recommendations for new methods, techniques, and strategies to drive success of our organization.
- 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
- Bachelor's degree
- Experience with statistical models e.g. multinomial logistic regression
- Experience as a leader and mentor on a data science team
- Experience documenting modeling for technical and business leaders
- Experience in forecasting analyses- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Master's degree
- Experience with unstructured textual data
- Experience working with scientists, economists, software developers, or product managers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
