# Principal Data Scientist, User Ecosystem at Reddit

> Remote · United States · Principal · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Areddit%3A8289345 (read 2026-11-04).

## Facts (observed)

- Company: [Reddit](https://alderhq.app/companies/reddit)
- Location text: Remote - United States; Remote - United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Remote - United States; Remote - United States")
- Posted: 2026-10-21 (14 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/reddit/jobs/8289345
- Skills listed (inferred): PyTorch

## Pay and sponsorship

- Posted pay: $313k–$365k per year (from the listing's pay field)
- Market band for similar posted roles (United States, n 25): p25 $167k, median $187k, p75 $233k
- H-1B filings at this company for similar roles, FY26: 2 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))
- Recognised sponsor (NL): registered as "Reddit Netherlands B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))
- Licensed UK sponsor: registered as "Reddit UK Ltd" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

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 www.redditinc.com.

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
- 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
### Requirements

- Deep expertise in at least one relevant area, with the breadth and curiosity to work across adjacent domains.
- A deep understanding of how to model and optimize systems involving users, content, communities, and feedback loops.
- Ability to frame and lead the most ambiguous questions, identify the most important uncertainties, and develop a rigorous path from evidence to action.
- Exceptional technical judgment across model design, objective selection, validation, experimentation, and production tradeoffs.
- Advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential or contextual models. Experience with deep-learning frameworks such as PyTorch or JAX.
- Experience working across Product, Engineering, Research, and other partner teams.
- Excellent written and verbal communication, with the ability to influence senior stakeholders and explain technical ideas clearly.
- Significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Areddit%3A8289345 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.