Senior Data Scientist, Amazon

• Bachelor's degree
• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression

Desirable

• As a Sr. Data Scientist in Alexa Connections, you will lead the end-to-end development of machine learning and data science solutions that power intelligent communication experiences across channels such as calling, messaging and email
• You will partner closely with product, engineering, and business leaders to translate ambiguous problems into scalable ML models, experimentation frameworks, and data-driven product decisions
• In this role, you will design and deploy advanced ML and statistical models for capabilities such as prioritization, intent detection, and proactive action recommendations
• You will analyze large-scale datasets and run rigorous experiments, including A/B testing and causal analysis, to measure impact and continuously improve customer engagement and product performance
• Additionally, you will shape the applied science roadmap and collaborate with global cross-functional teams to deliver AI-driven solutions that scale to millions of Alexa customers
• Partner with product, engineering, operations, and security teams to translate complex business problems into scalable, production-ready data science and ML solutions
• Own the full lifecycle of model development, including exploratory analysis, model design, deployment, monitoring, and continuous improvement
• Define and track success metrics, conduct rigorous analyses, and provide insights that guide product launches, feature improvements, and data-driven decision-making
• Build data-driven business cases to prioritize science initiatives and demonstrate measurable impact of ML solutions
• Develop ML-powered systems supporting key business areas
• Lead research and analysis to understand customer interactions with Alexa, and enhance overall customer experience
• Contribute to the broader science community by mentoring analysts, improving data workflows and tooling, and publishing technical work in internal and external forums
• Deep dive into our business metrics, analyze data, trends, and reviewing dashboards
• Writing code: building packages in Python, writing SQL queries, deploying solutions for Connections experience teams to consume
• Leading or joining working sessions with Product Managers to refine problem statements new initiatives
• Exploring new features and model architectures, leveraging AWS services, documentation, and upskilling yourself to the latest technologies
• Leverage pre-trained LLMs to build applications that solve business problems for Connections experiences
• Meet with Sr. Engineers/Principal Engineers to align on solution designs
• Own or co-own MBR, WBR documents that are reviewed with Connections leadership team
• Alexa Connections aspires to make Alexa+ the world’s most trusted connection assistant for getting things done and creating moments of joy
• Our vision emphasizes a) Trust as our foundation for becoming a daily habit, knowing our customers have plentiful choices, b) Completion of end-to-end customer journeys, beyond shipping features, and c) Joy through personalized, proactive experiences, that create a memory