Principal Data Scientist, User Ecosystem

Responsibilities

• Set the scientific direction for high-impact Consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.
• Build a durable understanding of users, their intent, their needs, and the behaviors that lead to lasting value
• Develop models and frameworks that represent users, content, communities, and their relationships over time for use in systems that operate at scale
• Determine how to measure consumer and ecosystem health when objectives compete and short-term engagement may differ from long-term value.
• Set learning agendas and steer experimentation strategy to distinguish durable improvement from temporary metric movement.
• Build state-of-the-art measurement systems to evaluate heterogeneous effects across user personas, acquisition cohorts, platforms, content types, and community stages, and guide their actionability in production environments
• Ensure coherence around ecosystem interactions including feedback loops, selection effects, interference, distribution shift, content supply, and other ecosystem risks.
• Translate complex technical findings into clear product and business decisions.
• Develop exceptional scientists through mentoring and influence data science org health and direction

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