Data Scientist, Ops Comp Engineering, Analytics 'N Science
Data Scientist, Ops Comp Engineering, Analytics 'N Science
Posted on :
17-08-2025
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1 Vacancy
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Job Description
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 Amazons 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 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.
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 2 years of data scientist experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Bachelors degree
- Experience applying theoretical models in an applied environment
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
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 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 $125500/year in our lowest geographic market up to $212800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Join the Operations Compensation team. We are an analytics team that supports Amazons 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 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.
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 2 years of data scientist experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Bachelors degree
- Experience applying theoretical models in an applied environment
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
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 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 $125500/year in our lowest geographic market up to $212800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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