Data Scientist, Creative X - Science

Amazon Science; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Job summary

Amazon Science is seeking a Data Scientist to join our CreativeX Optimization team in Seattle. You will extract insights from large datasets, develop machine learning models, and drive data-informed decisions across the organization.

Design and execute end-to-end data science projects, build data pipelines, monitor model performance, and collaborate with software engineers and stakeholders to translate business needs into scalable solutions.

Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (SQL), scripting languages (Python) or statistical/mathematical software (R, SAS, Matlab) experience
• 3+ years of ML/statistical modeling data analysis tools and techniques
• 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, research papers, or educational content
• Master's degree in STEM or related field
• Experience applying theoretical models in an applied environment

Responsibilities

• Design and execute end-to-end data science projects, from problem definition to solution deployment
• Develop and implement machine learning models to solve business problems and improve operational efficiency
• Create and maintain data pipelines for model training and deployment
• Conduct exploratory data analysis to uncover patterns and trends
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Present findings and recommendations to technical and non-technical audiences
• Monitor and optimize model performance
• Promote data science culture and experimentation

Job description

Description

Data Scientist

We are seeking a talented Data Scientist to join our growing science team. In this role, you will leverage your analytical and technical expertise to extract valuable insights from complex datasets, develop machine learning models, and drive data-informed decision-making across the organization.

Key Responsibilities

• Design and execute end-to-end data science projects, from problem definition to solution deployment


• Develop and implement machine learning models to solve business problems and improve operational efficiency


• Create and maintain data pipelines for model training and deployment


• Conduct exploratory data analysis to uncover patterns and trends


• Collaborate with stakeholders to understand business requirements and translate them into technical solutions


• Present findings and recommendations to technical and non-technical audiences


• Monitor and optimize model performance


• Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, perform hands‑on analysis and modeling of enormous data sets to develop insights that improve shopper experiences and merchandise sales


• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.


• Build machine learning models, perform proof‑of‑concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.


• Establish scalable, efficient, automated processes for large‑scale data analysis, machine‑learning model development, model validation and serving.


• Research new and innovative machine learning approaches.


• Promote the culture of experimentation and data science at Amazon

About The Team

Our team, CreativeX Optimization, is responsible for personalizing the visual experience of ads in real time. We apply advanced machine learning and generative AI to help advertisers build, identify, and understand what ad creatives work with their audiences. We develop customized CTR and CVR prediction models to help advertisers efficiently connect with shoppers across the web. We develop generative models to understand shopper preferences across text, images, and videos. We have a broad mandate to experiment and innovate, as we seek to leapfrog the competition and impact billions of impressions daily.

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually