• Analyzing how users interact with Alice and Yasmina by studying user journeys, churn, retention, engagement, and activity patterns • Generating data-driven ideas to make our voice assistants more useful and intuitive, supporting product improvements, and developing engagement mechanisms that encourage users to explore new scenarios and features • Developing and improving metrics used to evaluate the quality of voice technologies, including Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Large Language Models (LLMs), and search systems • Building data collection and annotation pipelines using Yang and Yandex Tasks platforms • Analyzing multilingual interactions and evaluating how well Alice handles conversations involving multiple languages, such as Russian and Kazakh • Investigating linguistic and cultural nuances to help ensure a natural and valuable user experience across different countries and regions • Developing analytical approaches for products with limited user traffic and evolving usage patterns • Designing methodologies for classifying and evaluating complex user requests and interaction scenarios • Defining and improving metrics that measure the quality, usefulness, and performance of voice assistant technologies • Identifying linguistic, cultural, and regional factors to consider when expanding to new markets • Generating insights and recommendations to improve search, recommendations, and other user-facing experiences across different regions