Data Scientist, Seller Fee Science
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Amazon's Seller Fee Science Team is seeking a Data Scientist to apply econometrics, machine learning, and AI to guide fee strategy and predict P&L, focusing on fee revenue. This role involves developing and deploying models, partnering with finance teams, and communicating scientific innovations at a global scale.
Responsibilities
- Translate ambiguous business challenges into well-defined scientific problems with measurable impact.
- Identify opportunities to improve fee revenue measurement, prediction, planning, structure, and level.
- Identify opportunities to improve measurement and prediction of other P&L items at appropriate levels of granularity.
- Design, develop, and deploy econometric or AI/ML models to understand the relationship between fees and costs or predict fee revenue and other P&L elements.
- Partner closely with finance and fee strategy teams to formulate scientific questions, communicate results, and productionalize solutions.
- Apply rigorous simulation methods to validate models and quantify business impact at scale.
- Communicate scientific innovations and results clearly to cross-functional stakeholders.
- Contribute to the broader internal and external scientific community through publications, talks, and technical artifacts.
Requirements
- 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
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 empowers Amazonians to deliver the best results for customers.
- Support for workplace accommodation and adjustment during the application, hiring, and onboarding process for individuals with disabilities.
#Data Science#Machine Learning#Artificial Intelligence#Econometrics#Fee Strategy#P&L Prediction
Company
Amazon
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Master, Doctoral
Applicants
Be an early applicant