Principal Data Scientist, User Ecosystem

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit .

Reddit is a complex consumer ecosystem where users, content, communities, and conversations interact over time. We are looking for a very senior data science thought leader to shape how Reddit understands and improves that ecosystem for the user / consumer flywheel.

This role will define the measurement, modeling, and experimentation strategy for major Consumer questions: how users discover value, form habits, and deepen engagement; how we understand and serve user intent; how content and communities evolve; and how our systems create durable value for users, contributors, communities, and Reddit.

The ideal candidate will bring deep expertise in one or more areas of consumer science, such as:

• Recommender systems and information retrieval

• User modeling, personalization, lifecycle, LTV, or optimization

• Content, community, or ecosystem modeling

• Knowledge graphs and representations of users, content, and communities

• Causal inference, experimentation, and long-term consumer measurement

You will partner with leaders across Product, Engineering, Research, and Community to turn ambiguous consumer problems into clear scientific questions, durable analytical systems, and decisions that improve Reddit at scale.

What you’ll do

• 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