Senior Data Scientist - Consumer

Reddit is a community of communities 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.

About the role

The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with cross-functional teams (Product, Engineering, Design, Marketing, Business Development, etc.) to build and improve systems that drive user and revenue growth. As a Senior Data Scientist, you will play a significant role in key product areas (Consumer, Ads, Safety, etc.) by defining product strategy through measurement, metrics design, experimentation, causal analyses, and deep data research.

This role involves leading and contributing to data-driven product decisions, mentoring junior team members, and collaborating with stakeholders up to the C-suite. You will go through a general Data Scientist hiring process and be matched to the product area that best fits your background and interests.

Responsibilities

• Develop action-oriented insights to drive product strategy through observational causal analysis, experiment meta-analysis, and clear communication of results to stakeholders.
• Uplevel experimentation practices by guiding design, execution, and deep-dive analyses to maximize learnings from A/B tests.
• Create new ETLs, tables, dashboards, and self-serve tools to enable seamless data interaction for data scientists and cross-functional partners.
• Design, evaluate, and measure team-level KPIs to support quarterly goal setting and demonstrate impact.
• Engage regularly with stakeholders to gather feedback and ensure alignment on business goals and outcomes.
• Mentor junior data scientists and business partners in data science best practices to improve decision-making.

Requirements

• Advanced degree (Masters or Ph.D.) in a quantitative field such as Statistics, Mathematics, Physics, Economics, or Operations Research.
• For M.S. holders: 5+ years of industry experience in applied science or data science roles.
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles.
• Expertise in querying relational databases (SQL) and programming languages (e.g., R/Python).
• Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques.
• Comfortable in innovative, fast-paced environments with a bias toward action.
• Strong technical communication and data storytelling skills for both technical and non-technical audiences.
• Able to tackle ambiguous problems by creating action plans, gathering feedback, and iterating.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer match.
• Global benefit programs (workspace, professional development, caregiving support).
• Family planning support and gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.

Pay

The base salary range for this position is $190,800—$267,100 USD. In addition to base salary, this role is eligible for equity in the form of restricted stock units and may include commission. Final offer amounts depend on skills, experience, and relevant credentials.