Senior Staff Data Scientist - Consumer Experimentation

About the Role

The role entails developing and advancing methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches. You will also design experimentation frameworks and guardrail metrics that account for network effects and interference, ensuring that product teams can measure true causal impact rather than biased local estimates.

Reddit's experimentation landscape presents uniquely challenging problems, and the company requires a senior data scientist who can thrive in this environment. The ideal candidate will have a deep understanding of causal inference, experimentation design, and data analysis, as well as excellent communication and collaboration skills.

What You Will Do

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
• Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
• Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
• Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
• Collaborate with cross-functional teams, including product, engineering, and design, to develop and implement experimentation frameworks
• Develop and maintain documentation of experimentation methodologies and results
• Present findings and insights to senior leadership and product teams, and influence product strategy through rigorous experimental design and analysis
• Stay up-to-date with industry trends and advancements in causal inference and experimentation methodology

What We Are Looking For

• Advanced degree in statistics, computer science, or a related field
• 5+ years of experience in data science, with a focus on experimentation methodology and causal inference
• Expertise in Excel, as well as programming languages such as Python, R, or SQL
• Experience with data analysis and visualization tools, such as Tableau or Power BI
• Excellent communication and collaboration skills, with the ability to work with cross-functional teams
• Strong understanding of statistical concepts, including hypothesis testing, confidence intervals, and p-values
• Experience with machine learning algorithms and techniques, such as regression, classification, and clustering
• Ability to work in a fast-paced environment and prioritize multiple projects simultaneously

Nice to Have

• Experience with cloud-based data platforms, such as AWS or GCP
• Knowledge of Reddit's platform and community, as well as its data science challenges and opportunities
• Familiarity with Agile development methodologies and version control systems, such as Git
• Experience with containers and container orchestration, such as Docker or Kubernetes

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible PTO and paid holidays
• Remote work stipend and home office setup
• Professional development opportunities, including conference attendance and training
• Access to Reddit's internal data and tools, as well as opportunities to collaborate with other data scientists and engineers
• Flexible work schedule and ability to work from anywhere in the United States
• Opportunity to work on high-impact projects that drive business growth and user engagement
• Collaborative and dynamic work environment with a team of experienced data scientists and engineers

• Tip: Be prepared to discuss your experience with experimentation methodology and causal inference, including specific examples of projects you've worked on and the results you've achieved.
• Tip: Familiarize yourself with Reddit's platform and community, as well as its data science challenges and opportunities, to demonstrate your understanding of the company's needs and goals.
• Tip: Highlight your ability to communicate technical concepts to non-technical stakeholders, including product teams and senior leadership, to demonstrate your collaboration and leadership skills.
• Tip: Emphasize your experience with Excel, as well as programming languages such as Python, R, or SQL, to demonstrate your technical skills and ability to work with data.
• Tip: Be prepared to discuss your experience with machine learning algorithms and techniques, such as regression, classification, and clustering, to demonstrate your understanding of data analysis and modeling.
• Tip: Show enthusiasm for working in a fast-paced environment and prioritizing multiple projects simultaneously, to demonstrate your ability to work in a dynamic and collaborative team environment.
• Tip: Research the company culture and values, and be prepared to discuss how your skills and experience align with Reddit's mission and goals.