Senior Data Scientist - Consumer

Role Overview

The Data Science Team at Reddit is growing and looking for experienced Data Scientists to partner with cross-functional partners (Product, Engineering, Design, Marketing, Business Development, etc.) to help build and improve the systems that continuously drive user and revenue growth.

As a Senior Data Scientist, you will play a significant role in driving the success of key product areas (Consumer, Ads, Safety, etc.). You will lead and contribute to defining product strategy through measurement and metrics design, experimentation, causal analyses, supporting product decisions via deep data analyses, and research.

Responsibilities

• Develop action-oriented insights to drive product strategy through observational causal analysis and experiment meta-analysis, clearly communicating results to stakeholders up to the C-suite.
• Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests.
• Create new ETLs, tables, dashboards, and other self-serve tools to enable data scientists and cross-functional partners to interact with data seamlessly.
• Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate impact.
• Regularly engage with stakeholders to gather feedback and share progress to ensure alignment on business goals.
• Mentor junior data scientists and business partners in data science best practices and methods.

Qualifications

• Advanced degree (Master's or Ph.D.) in a quantitative field such as Statistics, Mathematics, Physics, Economics, or Operations Research.
• 5+ years of industry experience in applied science or data science roles (for Master's degree holders), or 4+ years of industry experience (for Ph.D. holders).
• 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 / data storytelling skills and ability to discuss complex topics with technical and non-technical audiences alike.
• Ability to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating.