Data Scientist II, Amazon FinAuto - Lantern

Amazon; Hyderabad; On-site; INR 1,100,000 - 2,300,000; Full time

Job summary

Amazon in Hyderabad is seeking a Data Scientist to help build AI/ML-powered procurement systems. You will design and deploy scalable models and data pipelines that empower Amazonians worldwide to procure goods efficiently.

Collaborate with product, UX, and other data scientists to translate complex business needs into data-driven solutions, leveraging NLP and predictive analytics. Requires 2+ years as data scientist, strong SQL/Python, and experience with ML workflows.

Qualifications

• 2+ years of data scientist experience.
• 3+ years experience with SQL or Python or R/SAS/Matlab.
• 3+ years of ML modeling and data analysis experience.
• 1+ years guiding a group of researchers.
• 1+ years working with or evaluating AI systems.
• 1+ years creating or contributing to educational content.
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM) or equivalent experience.

Responsibilities

• Use data analyses and statistical techniques to improve customer experience and inform decisions.
• Identify predictors and causes of problems and implement forecasting approaches.
• Develop analyses to uncover opportunities and present business recommendations.
• Lead quantitative analyses and ensure high standards of data integrity.
• Collaborate with cross-functional teams to deliver data-driven ML solutions.

Skills

Python

SQL

ML Modeling

NLP

Research Leadership

Educational Content

Education

Master's degree in STEM

Ph.D. in STEM

Tools

R

SAS

Matlab

Git

Job description

Description

Ready to Transform Amazon's Procurement Systems?

Ready to Transform Amazon's Procurement Systems?

Are you passionate about building scalable solutions that impact how Amazonians get their work done? Join us in revolutionizing Amazon's procurement technology landscape through advanced analytics and machine learning.

We\'re 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, you\’ll be instrumental in building modern, AI/ML-powered applications that transform Amazon\'s procurement systems. You\’ll 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. You\’ll collaborate with experienced data scientists, engineers, and cross-functional partners to deliver solutions that will eventually serve Amazon\'s global workforce.

What You\’ll Do

You\’ll design, develop, and deploy scalable machine learning models and data pipelines that power Amazon\'s procurement ecosystem. Working in an agile environment, you will 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, you\'ll 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

• 2+ years of data scientist experience


• 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


• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience


• 1+ years of guiding and coaching a group of researchers experience


• 1+ years of working with or evaluating AI systems experience


• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience


• Master\'s degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)


• Experience applying theoretical models in an applied environment

Preferred 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

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 you\’re applying in isn\’t listed, please contact your Recruiting Partner.

Company

ADCI HYD 13 SEZ

Job ID: A10569183