Principal Data Scientist, User Ecosystem

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the scientific strategy for significant Consumer challenges encompassing discovery, relevance, personalization, user growth, retention, content, and communities.

• Cultivate a comprehensive understanding of users, their intentions, needs, and behaviors that contribute to lasting value.

• Create models and frameworks that represent users, content, communities, and their relationships over time for systems operating at scale.

• Identify methods to assess consumer and ecosystem health when objectives are in conflict and short-term engagement diverges from long-term value.

• Set learning agendas and guide experimentation strategies to differentiate between sustainable improvements and temporary metric fluctuations.

• Develop measurement systems that evaluate diverse effects across user personas, acquisition cohorts, platforms, content types, and community stages, while guiding actionable production insights.

• Ensure consistency regarding ecosystem interactions, including feedback loops, selection effects, interference, distribution shifts, content supply, and other ecosystem risks.

• Convert complex technical insights into clear product and business decisions.

• Foster the development of outstanding scientists through mentorship and influence the health and direction of the data science organization.

• Collaborate with leaders across Product, Engineering, Research, and Community to transform ambiguous consumer issues into scientific inquiries, analytical systems, and decisions that enhance Reddit at scale.

⛳️ Requirements

• Profound expertise in at least one pertinent area of consumer science, with the flexibility to operate across related fields.

• In-depth understanding of modeling and optimizing systems involving users, content, communities, and feedback loops.

• Capability to frame and lead ambiguous inquiries while developing a rigorous pathway from evidence to actionable outcomes.

• Exceptional technical judgment in model design, objective selection, validation, experimentation, and production trade-offs.

• Advanced knowledge of contemporary machine-learning techniques for behavioral and content data, including representation learning and sequential or contextual models.

• Experience with deep-learning frameworks such as PyTorch or JAX.

• Proven experience collaborating across Product, Engineering, Research, and other partner teams.

• Outstanding written and verbal communication skills, with the ability to influence senior stakeholders and articulate technical concepts clearly.

• Extensive experience applying data science, machine learning, statistics, experimentation, or causal inference to intricate consumer products.

🏝️ Benefits

• Equity in the form of restricted stock units.

• Potential commission, based on the position offered.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) program with employer match.

• Generous paid vacation time.

• Parental leave.

• Reasonable accommodations for qualified individuals with disabilities and disabled veterans.

• Option to opt out of AI interview recording, transcription, and summarization.