The role involves hands-on work with analytics and data systems, leveraging tools like SQL and Python to explore data, build metrics, and support experimentation, while also contributing to the AI training lifecycle and shaping ML-powered features. Responsibilities include collaborating with engineering and data science teams to ship customer-facing products and defining the analytics and ML product roadmap based on customer needs.
