Data Scientist

About The Company

Reddit is a global community of communities, dedicated to fostering open, authentic, and meaningful conversations across a diverse range of topics. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit stands as one of the largest and most influential platforms on the internet. The platform thrives on shared interests, passion, and trust, serving as a space where users submit, vote, and comment on topics they care about most. Reddit's mission is to bring community and belonging to the world by connecting people to the best information and communities tailored to their interests.

About The Role

We are seeking a highly skilled and experienced Staff Data Scientist to join our Consumer Data Science team. In this pivotal role, you will influence product strategy by proactively identifying opportunities, conducting exploratory analyses, and sharing actionable insights. Your work will directly impact Reddit's efforts to attract new users, enhance engagement, and improve retention. You will design and develop metrics to evaluate business health and product success, lead experimentation initiatives from conception to analysis, and build self-serve analytical tools for cross-functional teams. This role offers a unique opportunity to leave a significant mark on a rapidly growing platform, working remotely within the US or from one of our major offices in San Francisco, Los Angeles, Chicago, or New York.

Qualifications

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 10+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
• Expert knowledge of SQL and relational databases
• Proficiency in statistical analysis and programming languages such as R and Python
• Strong ability to influence and guide product strategy through data insights
• Experience solving ambiguous problems with structured, hypothesis-driven approaches
• Familiarity with causal inference techniques and causal modeling
• Excellent communication skills, capable of working effectively with senior leaders and stakeholders
• Entrepreneurial mindset, self-directed, and enthusiastic about problem solving
• Experience mentoring junior data scientists and sharing best practices
• Ability to adapt in fast-paced, innovative environments and prioritize action
• Strong capability to discuss complex topics with both technical and non-technical audiences

Responsibilities

• Help shape the long-term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention
• Provide data-driven insights to influence strategic roadmaps based on user behavior and needs analysis
• Design and implement metrics to evaluate business health and product success, including necessary ETL processes for consistent analysis
• Lead experimentation efforts from design through execution and analysis, maximizing learning and guiding future investments
• Create self-serve analytical tools for product and engineering teams to facilitate data access and literacy
• Collaborate across teams—including product, engineering, and design—to ensure insights are integrated into product development
• Mentor junior data scientists, improve data science processes, and contribute to scaling data practices within the organization

Benefits

• Comprehensive healthcare benefits and income replacement programs
• 401(k) plan with employer matching contributions
• Global benefits supporting various lifestyles, including workspace, professional development, and caregiving support
• Family planning and gender-affirming care support
• Mental health and coaching services
• Flexible vacation policies and paid volunteer time off
• Generous paid parental leave