Data Scientist II, Amazon FinAuto - Lantern

Technology, Data & Digital · Data, AI & Analytics · Data Science

In short

Amazon FinAuto is seeking a Data Scientist II for the Lantern team in Hyderabad to revolutionize procurement systems using advanced analytics and machine learning. This role involves designing, developing, and deploying scalable AI/ML models and data pipelines to enhance procurement processes for Amazonians worldwide.

Responsibilities

Design, develop, and deploy scalable machine learning models and data pipelines.
Own analytical solutions from conception through production deployment in an agile environment.
Translate complex business requirements into data-driven solutions using advanced analytics, NLP, and AI/ML techniques.
Use data analyses and statistical techniques to improve customer experience and guide business decisions.
Identify predictors and causes of business-related problems and implement novel forecasting and prediction approaches.
Analyze and solve business problems at their root.

Requirements

2+ years of data scientist experience.
3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab).
3+ years of experience with machine learning/statistical modeling data analysis tools and techniques.
1+ years of experience guiding and coaching a group of researchers.
1+ years of experience working with or evaluating AI systems.
1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content.
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent work experience in a STEM field.
Experience applying theoretical models in an applied environment.

Desired Qualifications

Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
Knowledge of machine learning concepts and their application to reasoning and problem-solving.
Experience in Python, Perl, or another scripting language.
Experience in a ML or data scientist role with a large technology company.
Experience in defining and creating benchmarks for assessing GenAI model performance.
Experience working on multi-team, cross-disciplinary projects.
Experience applying quantitative analysis to solve business problems and making data-driven business decisions.
Experience effectively communicating complex concepts through written and verbal communication.

Benefits

Inclusive culture that empowers Amazonians.
Opportunity to work on high-impact systems.
Chance to develop data-driven systems leveraging AI/ML services, modern statistical modeling techniques, and generative AI capabilities.
Collaborate with experienced data scientists, engineers, and cross-functional partners.

Skills

SQLPythonRSASMatlabmachine learningnatural language processingpredictive analyticsgenerative AI

#Data Science#Amazon FinAuto#Lantern#Machine Learning#AI/ML#Procurement Systems#Analytics#NLP#Predictive Analytics#Generative AI

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