Data Scientist, Alexa Smart Home

• Design and implement AI/ML models, anomaly detection systems, and statistical frameworks to analyze customer interactions, identify emerging issues, and drive measurable improvements across the smart home ecosystem. • Own the full lifecycle of model development — from exploratory analysis and feature engineering through deployment, monitoring, and continuous improvement. • Partner with product, engineering, and science teams to translate complex business and technical problems into scalable, production-ready data science solutions. • Design and run rigorous experiments (A/B testing, causal analysis) to measure the impact of product and quality improvements and guide strategic decisions. • Develop scalable analytical solutions for impact measurement, KPI development, metric integrity validation, and long-term business monitoring. • Explore and apply GenAI and LLM-based approaches to accelerate insight generation, automate analytical workflows, and solve novel smart home challenges. • Communicate findings and 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 PREFERRED 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 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 developing experimental and analytic plans for data modeling

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.