Data Scientist II, Amazon FinAuto - Lantern

Amazon Inc.; Asti; On-site; EUR 107,000 - 142,000; Full time

Job summary

Amazon FinAuto - Lantern is seeking a Data Scientist II to design, develop, and deploy scalable ML models and data pipelines for procurement systems. You will own analytical solutions from concept to production, collaborating with data scientists, engineers, and product teams.

The role focuses on AI/ML, NLP, predictive analytics, and generative AI capabilities to improve procurement for Amazonians worldwide, with an agile team and cross-functional partners.

Qualifications

• 2+ years of data scientist experience.
• 3+ years of SQL, Python, or R/SAS/Matlab experience.
• 3+ years of ML/statistical modeling and data analysis.
• 1+ years of guiding and coaching researchers.
• 1+ years of working with or evaluating AI systems.
• 1+ years of creating or contributing to mathematical textbooks, papers, or educational content.
• Master's degree in STEM or equivalent experience.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Design, develop, and deploy scalable ML models and data pipelines.
• Own analytical solutions from conception through production deployment.
• Collaborate with product managers, UX designers, and data scientists to translate business requirements into solutions.
• Lead quantitative analyses and ensure data integrity and analytical rigor.
• Analyze and solve business problems at their root.

Skills

Data science experience

SQL

Python

R

Matlab

Coaching researchers

AI systems experience

Mathematical content creation

Education

Master's degree in STEM

PhD in STEM (preferred)

Tools

SQL

Python

R

SAS

Matlab

Job description

Data Scientist II, Amazon FinAuto - Lantern

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’ll 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.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.