Senior Staff Data Scientist - Consumer Experimentation

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $232,500–$325,500 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k

This role $279k

$84k most similar roles pay here $351k

This role pays more than 98% of similar roles. Most pay $132,964–$198,000 — the shaded band above. At the midpoint, this role pays about $279k versus about $165k 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 72 open roles on FindRole.

Listed pay typically runs $217,000–$303,900 across 66 roles with salary data.

Most-posted roles

View all roles at Reddit

At a glance

TL;DR · Senior Staff Data Scientist - Consumer Experimentation

Apply Now Log in to save

As a Senior Staff Data Scientist on Reddit’s Consumer team, you will serve as the technical authority on experimentation methodology, tackling complex challenges such as network interference and two-sided experimentation. You will develop advanced causal inference methods, design robust experimentation frameworks, and build self-serve tools to enhance experimentation velocity across teams. Your role involves influencing product strategy through rigorous experimental analysis and mentoring other data scientists in best practices. Ideal candidates hold a Ph.D. or extensive industry experience with expertise in causal inference, SQL proficiency, and strong theoretical knowledge of experimental design. Experience with large-scale experimentation platforms and social network dynamics is preferred, as Reddit’s interconnected platform presents unique challenges that require innovative solutions.

Skills

SQL R Python Causal Inference Experimental Design Bayesian Methods Bandit Algorithms Adaptive Experimental Designs Social Network Analysis User-Generated Content Platforms CI/CD

What you'll do

Serve as technical authority on experimentation methodology, setting standards for complex environments.
Tackle hardest experimentation problems, including spillover effects and network interference.
Develop methods for causal inference in non-standard randomization settings.
Design frameworks to measure true causal impact across the ecosystem.
Build self-serve experimentation tools and documentation to increase literacy.
Influence long-term product strategy through well-designed experiments and insights.
Mentor data scientists on best practices, causal reasoning, and statistical rigor.

What we're looking for

Ph.D. in Statistics, Econometrics, Economics, Computer Science, or related quantitative field with expertise in causal inference.
8+ years of industry experience in applied science, data science, or experimentation-focused roles.
Deep expertise in causal inference and practical experience with complex experimental challenges.
Strong theoretical grounding in experimental design and proficiency in SQL, R, and/or Python.
Track record of designing and analyzing large-scale experiments in networked environments.
Demonstrated ability to influence product strategy through rigorous experimental insights.

Save