Data Scientist II, International Seller Services
Technology, Data & Digital · Data, AI & Analytics · Data Science
In short
As a Data Scientist II for International Seller Services at Amazon in Hyderabad, you will leverage Machine Learning, NLP, and LLM expertise to develop innovative solutions, model complex problems, and build risk algorithms. This role requires strong analytical skills, experience with data querying and scripting languages, and the ability to collaborate with business and product leaders to drive measurable impact.
Responsibilities
- Analyze terabytes of data to define and deliver complex analytical deep dives to unlock insights and build scalable solutions through Data Science.
- Build Machine Learning and/or statistical models that evaluate transaction legitimacy and track impact over time.
- Ensure data quality throughout all stages of acquisition and processing.
- Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams.
- Develop efficient data querying infrastructure for both offline and online use cases.
- Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes.
- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
- Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations.
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
- 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.
#Data Science#Machine Learning#NLP#LLM