Principal Data Scientist, User Ecosystem

Reddit, Inc.Consumer social media

Remote - United StatesFull-TimePrincipal

Salary$313,000 — $365,100 USD

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Job Details

Experience: Significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products.
Required Skills: Machine LearningPyTorch

Bring deep expertise in at least one relevant area, with breadth and curiosity to work across adjacent domains.
Understand how to model and optimize systems involving users, content, communities, and feedback loops.
Be able to frame and lead ambiguous questions, identify important uncertainties, and develop a rigorous path from evidence to action.
Demonstrate technical judgment across model design, objective selection, validation, experimentation, and production tradeoffs.
Have advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential or contextual models.
Have experience with deep-learning frameworks such as PyTorch or JAX.
Have experience working across Product, Engineering, Research, and other partner teams.
Have significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products.
Communicate technical ideas clearly in writing and verbally, and influence senior stakeholders.

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, needs, and behaviors that lead to lasting value.
Develop models and frameworks representing users, content, communities, and their relationships over time for systems operating 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 measurement systems to evaluate heterogeneous effects across user personas, acquisition cohorts, platforms, content types, and community stages, and guide actionability in production.
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.
Mentor scientists and influence data science organizational health and direction.

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