below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$162,000–$220,325
— the blue band above.
At the midpoint, this role pays about
$339k
versus about
$191k
for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has
89 open roles
on FindRole.
Listed pay typically runs
$216,700–$303,000
across 89 roles with salary data.
The Principal Data Scientist, User Ecosystem joins the team to shape how the platform understands and improves the consumer flywheel. This role involves defining measurement, modeling, and experimentation strategies for major consumer questions regarding discovery, habits, and engagement. You will build durable analytical systems and models representing users, content, and communities to solve complex problems like intent serving and ecosystem health. Key responsibilities include setting scientific directions for personalization, mentoring scientists, and translating technical findings into product decisions. Required expertise includes recommender systems, information retrieval, causal inference, and knowledge graphs. You must possess advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential models, with specific experience using deep-learning frameworks such as PyTorch or JAX to manage feedback loops and distribution shifts.
What does a Data Scientist earn in Remote?
Median $216300 from 36 postings across 16 companies.
Set the scientific direction for high-impact consumer problems involving discovery, personalization, and user growth.
Build models and frameworks to represent users, content, and communities for large-scale systems.
Develop measurement systems to evaluate ecosystem health and distinguish long-term value from short-term engagement.
Steer experimentation strategies to identify durable improvements and manage competing objectives.
Analyze ecosystem risks including feedback loops, selection effects, and distribution shifts.
Translate complex technical findings into clear product and business decisions for senior stakeholders.
Mentor and develop other scientists while influencing the overall data science organization's direction.
What we're looking for
Deep expertise in at least one area of consumer science, such as recommender systems, user modeling, or causal inference.
Significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products.
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.
Ability to model and optimize systems involving users, content, communities, and feedback loops.
Experience working across Product, Engineering, Research, and other partner teams.
Excellent written and verbal communication skills to influence senior stakeholders and explain technical ideas clearly.
Exceptional technical judgment across model design, objective selection, validation, experimentation, and production tradeoffs.
Machine Learning
Python
PyTorch
Deep Learning
Information Retrieval
Recommender Systems
Multi-GPU
Google Cloud
AWS
Azure
Representation Learning
Graph Data
Preference Optimization
Python
SQL
R
machine-learning
Causal Inference
Econometrics
Statistics
Agentic AI
Forecasting
Experimentation
Data Science
Structured Data
Unstructured Data
Python
SQL
Applied AI
Data Engineering
Data Architecture
Spark
Databricks
CI/CD
Distributed Data Processing
Agentic Workflows
Version Control
Testing
Observability
Pipeline Orchestration
Metadata Systems