Data Scientist, Amazon FinAuto - Lantern

Description
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
  

Basic Qualifications

• 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)
  

Preferred Qualifications

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• 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner.
Company - ADCI HYD 13 SEZ
Job ID: A10378908