Data Scientist, MAPLE - Recommender System
Amazon Robotics · Bengaluru · onsite · Posted 53d ago
Not disclosed3–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Description
Are you excited by the idea of developing personalized experiences for Amazon customers as they shop Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI techniques Join us and you'll help millions of customers make informed purchase decisions while also advancing the state of Amazon's science by publishing research!
Key job responsibilities
Our team's mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazon's customers. Our team's culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazon's business and for our customers.
Basic Qualifications
Company - ADCI - Karnataka
Job ID: A3207573
Are you excited by the idea of developing personalized experiences for Amazon customers as they shop Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI techniques Join us and you'll help millions of customers make informed purchase decisions while also advancing the state of Amazon's science by publishing research!
Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for shopping personalization.
- Develop and test new signals for improving recommendation models
- Use supervised and uplift learning algorithms to improve customer experience
- Design A/B tests and conduct statistical analysis on their results
- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
- Present and publish science research, contributing to Amazon's science community
- Mentor junior engineers and scientists.
Our team's mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazon's customers. Our team's culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazon's business and for our customers.
Basic Qualifications
- 3+ 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 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
- 2+ years in causal machine learning
- 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
Company - ADCI - Karnataka
Job ID: A3207573
Sourced from foundit
Skills
statistical modelingstatistical analysisData Analysis Tools and Techniquesdistributed machine learninguplift learningMachine Learning
About Amazon Robotics
Amazon Robotics
Find them on