Data Scientist, Amazon FinAuto Lantern
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Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Ready to Transform Amazons Procurement Systems
Are you passionate about building scalable solutions that impact how Amazonians get their work done Join us in revolutionizing Amazons procurement technology landscape through advanced analytics and machine learning.
Were seeking a talented Data Scientist to help build the next generation of procurement applications from the ground up. This is your opportunity to work on high-impact systems that combine advanced search capabilities AI-powered assistance.
About This Role
As a Data Scientist in the Global Corporate Procurement (GCP) Tech team youll be instrumental in building modern AI/ML-powered applications that transform Amazons procurement systems. Youll work on a greenfield initiative to create innovative solutions leveraging machine learning natural language processing and predictive analytics that make procurement faster smarter and more intuitive for Amazonians worldwide.
This role offers the unique opportunity to develop data-driven systems leveraging AI/ML services modern statistical modeling techniques and generative AI capabilities. Youll collaborate with experienced data scientists engineers and cross-functional partners to deliver solutions that will eventually serve Amazons global workforce.
What Youll Do
Youll design develop and deploy scalable machine learning models and data pipelines that power Amazons procurement ecosystem. Working in an agile environment youll take ownership of analytical solutions from conception through production deployment contributing to technical decisions alongside experienced data scientists and engineers.
Your work will directly impact the daily experience of Amazonians as they procure goods and services. Through collaboration with product managers UX designers and fellow data scientists youll translate complex business requirements into elegant data-driven solutions using advanced analytics NLP and AI/ML techniques.
Key job responsibilities
* Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
* Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction
* Identify develop manage and execute analyses to uncover areas of opportunity and present written business recommendations
* Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
* Analyze and solve business problems at their root
- 1 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/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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.
Are you passionate about building scalable solutions that impact how Amazonians get their work done Join us in revolutionizing Amazons procurement technology landscape through advanced analytics and machine learning.
Were seeking a talented Data Scientist to help build the next generation of procurement applications from the ground up. This is your opportunity to work on high-impact systems that combine advanced search capabilities AI-powered assistance.
About This Role
As a Data Scientist in the Global Corporate Procurement (GCP) Tech team youll be instrumental in building modern AI/ML-powered applications that transform Amazons procurement systems. Youll work on a greenfield initiative to create innovative solutions leveraging machine learning natural language processing and predictive analytics that make procurement faster smarter and more intuitive for Amazonians worldwide.
This role offers the unique opportunity to develop data-driven systems leveraging AI/ML services modern statistical modeling techniques and generative AI capabilities. Youll collaborate with experienced data scientists engineers and cross-functional partners to deliver solutions that will eventually serve Amazons global workforce.
What Youll Do
Youll design develop and deploy scalable machine learning models and data pipelines that power Amazons procurement ecosystem. Working in an agile environment youll take ownership of analytical solutions from conception through production deployment contributing to technical decisions alongside experienced data scientists and engineers.
Your work will directly impact the daily experience of Amazonians as they procure goods and services. Through collaboration with product managers UX designers and fellow data scientists youll translate complex business requirements into elegant data-driven solutions using advanced analytics NLP and AI/ML techniques.
Key job responsibilities
* Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
* Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction
* Identify develop manage and execute analyses to uncover areas of opportunity and present written business recommendations
* Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
* Analyze and solve business problems at their root
- 1 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/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
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:
IC
Key Skills
About Company
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