Data Scientist II, Seller Fee Science
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
The Seller Fee Science Team at Amazon is seeking a Data Scientist II in Bengaluru, India, to apply econometrics, machine learning, and AI to guide fee strategy and predict P&L. This role involves translating business challenges into scientific problems, developing and deploying models, and collaborating with finance teams to influence fee decisions and impact millions of sellers globally.
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 items of the P&L, at appropriate levels of granularity.
- Design, develop, and deploy econometric or AI/ML models that improve our understanding of the relationship between fees and costs, or predict fee revenue, and other elements of the P&L.
- 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 and 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
#data science#machine learning#AI#econometrics#fee strategy#P&L prediction#revenue measurement
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