Teams at Coursera + Udemy

Lead strategy, roadmap, and execution for Coursera's authoring and content production tools. Define product requirements, collaborate cross-functionally (Engineering, Design, Data Science, Research, Content, Marketing, Support), monitor production/ingestion metrics, and drive AI-enabled authoring innovations to scale high-quality, career-aligned content.

Lead category-level growth initiatives from diagnosis through execution to improve revenue, paid conversion, retention, and LTV. Analyze portfolio performance, prioritize high-impact opportunities, design experiments and operating mechanisms, and drive cross-functional teams to deliver measurable business outcomes and scalable decision frameworks.

The Senior Data Scientist partners with Customer Success to perform deep-dive analyses, diagnose metric shifts, build predictive models (churn/upsell), apply causal inference and experimentation, measure business impact, and develop AI/LLM solutions. Responsibilities include self-serving across the data stack for extraction, pipelining, and dashboards, defining KPIs, and delivering actionable insights to reduce churn, drive revenue, and improve operational efficiency.