Sr Data Scientist FCGT
Sr Data Scientist FCGT
Posted on :
06-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Amazon strives to be Earths most customercentric company where people can find and discover virtually anything they want to buy online. Amazons evolution is driven by the spirit of innovation that is part of the companys DNA.
Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI statistical analysis prescriptive and predictive analysis and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & Machine learning algorithm as well as a practical understanding of collecting assembling cleaning and setting up disparate data from enterprise systems.
Key job responsibilities
Responsibilities:
Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question
Given a business problem estimate solution feasibility and potential approaches based on available data
Understand what data is available where and how to pull it together. Work with partner teams where needed to facilitate permissions and acquisition of required data
Quickly prototype solutions and build models to test feasibility of solution approach
Build statistical models/ ML models train and test them to and drive towards the optimal level of model performance
Improve existing processes with development and implementation of state of the art generative AI models
Work with technology teams to integrate models by wrapping them as services that plug into Amazons marketplace and fulfillment systems
Work across the spectrum of reporting and data visualization statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem
The problem set covers aspects of detecting fraud and abuse improving performance driving lift and adoption recommend the right upsell to the right audience cost saving selection economics and several others.
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
Experience working with data engineers and business intelligence engineers collaboratively
Experience managing data pipelines
Experience as a leader and mentor on a data science team
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.
Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI statistical analysis prescriptive and predictive analysis and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & Machine learning algorithm as well as a practical understanding of collecting assembling cleaning and setting up disparate data from enterprise systems.
Key job responsibilities
Responsibilities:
Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question
Given a business problem estimate solution feasibility and potential approaches based on available data
Understand what data is available where and how to pull it together. Work with partner teams where needed to facilitate permissions and acquisition of required data
Quickly prototype solutions and build models to test feasibility of solution approach
Build statistical models/ ML models train and test them to and drive towards the optimal level of model performance
Improve existing processes with development and implementation of state of the art generative AI models
Work with technology teams to integrate models by wrapping them as services that plug into Amazons marketplace and fulfillment systems
Work across the spectrum of reporting and data visualization statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem
The problem set covers aspects of detecting fraud and abuse improving performance driving lift and adoption recommend the right upsell to the right audience cost saving selection economics and several others.
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
Experience working with data engineers and business intelligence engineers collaboratively
Experience managing data pipelines
Experience as a leader and mentor on a data science team
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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
