Staff Data Scientist, Consumer

About the role

This position centers on consumer product analytics, managing the full journey from initial request to final delivery. You translate raw input into structured questions, run controlled tests, and convert findings into clear guidance for product teams. Your work determines which ideas advance and which are retired.

Key facts

What you'll do

You design intake frameworks that convert scattered signals into defined questions for product teams. You construct analysis pipelines and metrics that reveal how users interact with communities and content. You review experiment outcomes to identify true impact and recommend strategic shifts. You build self-serve dashboards that let partners explore data without ongoing support. You collaborate with product and engineering to align roadmaps, ensuring insights lead to tangible results. You drive experimentation from initial hypothesis through measurement, expanding learnings beyond isolated tests. You mentor junior scientists on methods and improve team processes to scale impact. You translate complex findings for different audiences, balancing depth with actionable simplicity.

Requirements

You hold an advanced degree in a quantitative discipline or have equivalent experience. Holders of a master's degree need ten or more years solving problems in industry roles. Holders of a PhD need six or more years applying scientific methods in professional contexts. You use SQL fluently to explore relational data and create reliable metrics. You use R or Python to analyze patterns and present results clearly. You guide product strategy with data, influencing decisions without direct authority. You tackle ambiguous challenges by structuring hypotheses and testing them with evidence. You apply causal inference techniques to separate impact from coincidence. You communicate confidently with leaders and collaborators at all levels. You act as an owner, moving quickly, testing ideas, and learning from outcomes. You mentor peers and share methods that elevate data practice across the organization. You thrive in fast moving contexts, prioritizing action while maintaining rigor. You discuss complex topics with both technical and non technical audiences.

Nice to have

Experience working with community driven platforms and consumer facing products adds relevance to this role.

Skills & tools

SQL, Python, R

Responsibilities

You shape product strategy by discovering opportunities to attract users, increase engagement, and improve retention. You influence roadmaps through insights into user behaviors and needs. You design metrics that evaluate business health and product success, including analysis development for consistent and robust evaluation. You drive experimentation from design through execution and measurement to maximize learning and guide future investment. You build self serve tools for product and engineering partners that answer common questions and increase data literacy in the organization. You work cross functionally with product, engineering, and design teams to ensure insights translate into product features. You scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems.

Requirements details

Advanced degree is mandatory, either a Master's or Ph.D., in a relevant quantitative field. Professionals with a Master's degree should bring at least ten years of industry experience in applied science or data science roles. Professionals with a PhD should demonstrate at least six years of industry experience in applied science or data science roles. Expertise in SQL and relational databases is essential. Familiarity with statistical analysis and the preferred programming languages of the team, specifically R and Python, is required. You must demonstrate the ability to influence and guide product strategy using data. You must show the capability to solve ambiguous problems in a structured, hypothesis driven, data supported manner. Familiarity with causal inference techniques and causal models is necessary. Excellent communication skills and experience working with senior leaders and stakeholders are required. You must be entrepreneurial, self directed, and enthusiastic about solving problems. You must demonstrate the ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit. You must conform to innovative and fast paced environments, and possess a bias toward action. You must be able to discuss complex topics with both technical and non technical audiences.

Benefits

Details regarding benefits will be confirmed on the official application page.

Application details

Please Ensure your materials reflect the requirements and responsibilities outlined in this description.