Amazon Retail India Private Limited
Applied Science, Science, Retail
DataScientistII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist II at Amazon Retail India Private Limited. Skills: Data Science, Machine Learning, Gen AI, MLOps. Build state of the art personalized Gen AI. Productionize personalized Gen AI systems”
What You'll Achieve.
Visible customer impact; Impactful ML products
Industry & Context.
Problem definitions; ML products formulation
What They're Looking For.
Must Have
3+ years of data scientist experience, 3+ years of data querying languages experience, 3+ years of scripting languages experience, 3+ years of statistical/mathematical software experience, 3+ years of machine learning/statistical modeling experience, 3+ years of data analysis tools and techniques experience, 1+ years of guiding and coaching researchers experience, 1+ years of working with or evaluating AI systems experience, 1+ years of creating or contributing to mathematical textbooks experience, 1+ years of creating or contributing to research papers experience, 1+ years of creating or contributing to educational content experience, Master's degree in Science, Technology, Engineering, or Mathematics, Experience working in Science, Technology, Engineering, or Mathematics, Ability to write clear, structured and modularized scripts in Python, Expert in distilling informal customer requirements into problem definitions, Dealing with ambiguity, Formulating ML products to solve these problems
Nice to Have
Ph. D. in Science, Technology, Engineering, or Mathematics, Knowledge of machine learning concepts, Experience in Python, Experience in Perl, Experience in 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, Experience making data-driven business decisions, Experience effectively communicating complex concepts, White paper publications being a plus, Science cast studies being a plus
What You'll Do.
Build state of the art personalized Gen AI
Productionize personalized Gen AI systems
Measure impact of personalized Gen AI systems
Contribute to Amazon wide research
Work with global leaders and teams
How You'll Work.
Team & Collaboration
Business stakeholders; Global leaders; Cross-disciplinary projects
Communication Scope
Customer requirements; Complex concepts
Full Job Description
We are seeking a stellar Data scientist who has experience developing science products, drive conversations with business stakeholders and visible customer impact. We would prefer if your previous work has been in scalable Agentic, RL or forecasting products. Strong academic background in Statistics, Machine Learning & Science is required with white paper publications/science cast studies about your work being a plus. • Master’s degree in statistics, CS or ML related fields • Scientist/Tech Lead creating and shipping impactful ML products. • Ability to write clear, structured and modularized scripts in Python. • Expertise in ML & Deep Learning frameworks such as Tensorflow, Keras and Pytorch & Agentic frameworks such as LangChain, Crew AI etc. • Industry experience working with complex AI systems. • Experience and technical expertise across various science domains. Crucial ones being statistics, deep & machine learning. • Experience creating data pipelines & proficient in querying data from Spark/HIVE/Redshift/other large scale data warehousing platforms. • Expert in distilling informal customer requirements into problem definitions, dealing with ambiguity and formulating ML products to solve these problems. Key job responsibilities In this position, you will be a key contributor (with direct leadership visibility) building, productionizing (real & batch) and measuring impact of state of the art personalized Gen AI systems for Amazon global selling partners and contribute to Amazon wide research in this area in the form of publications and white papers. You will work with global leaders and teams across time zones on a regular basis. About the team Millions of Sellers list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. In this ecosystem our team plays a critical role in enabling Sellers across EU5, China, Japan, Australia, Brazi
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