Company Overview
Reddit is where the internet comes to connect, explore, and engage in conversations on virtually any topic. From breaking news and fandoms to gaming, life tips, sports, health, and the web’s most adorable pets, Reddit is home to millions of users and over 100,000 active communities—known as subreddits—dedicated to just about every subject imaginable (and plenty you wouldn’t expect). No matter what you’re interested in, you’ll find your place on Reddit.
About the Role
Reddit is a network of communities built on shared interests, curiosity, and authentic connection. With over 100,000 active communities and more than 101 million unique daily users, Reddit is one of the largest and most dynamic platforms on the internet for open and impactful conversations.
Location: This position is remote-friendly within the U.S. and also available in-office in San Francisco, Los Angeles, Chicago, or New York.
About the Team and Role
Reddit’s Data Science team is expanding, and we’re looking for seasoned Data Scientists to join us in supporting our mission of growing both our user base and revenue. Working cross-functionally with partners in Product, Engineering, Design, Marketing, and Business Development, you’ll help develop the data-driven systems that power Reddit’s evolution.
As a Senior Data Scientist, you’ll have a critical impact on major product areas such as Consumer Experience, Advertising, or Trust & Safety. Your work will influence product strategy, optimize user experiences through rigorous experimentation, and deliver insights that drive high-level decisions.
You’ll bring a strong blend of analytical rigor, business insight, and stakeholder collaboration. This is a general data science role with placement based on your skills and interests.
Key Responsibilities
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Deliver actionable insights through causal analysis, A/B test evaluations, and statistical modeling to inform strategy and drive business decisions.
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Lead best practices in experimentation design, implementation, and interpretation to ensure robust product testing and learning.
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Build and maintain scalable data pipelines (ETLs), dashboards, and tools to support self-service data exploration across teams.
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Define and monitor key performance indicators (KPIs) for product and team impact, and support quarterly planning.
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Collaborate closely with stakeholders, ensuring alignment on goals and sharing progress transparently throughout projects.
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Mentor junior team members and business partners to elevate data fluency and promote best practices in data science.
Qualifications
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Proven experience in data science or analytical roles, especially for consumer-facing apps or platforms.
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Advanced degree (Ph.D., M.S., or B.S.) in a quantitative discipline such as Statistics, Computer Science, Machine Learning, or Economics.
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Minimum of 5+ years of industry experience with a B.S. or M.S., or 3+ years with a Ph.D.
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Strong proficiency in SQL and data programming languages such as Python or R.
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Expertise in experimental design (A/B testing), causal inference, and advanced statistical techniques.
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Comfortable navigating fast-paced, ambiguous environments and delivering results with a proactive mindset.
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Excellent communication skills with the ability to explain technical findings to both technical and non-technical stakeholders.
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Demonstrated ability to manage complex projects independently with clear action plans and iterative execution.
Benefits
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Comprehensive healthcare coverage
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401(k) with employer matching
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Home office setup support
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Annual personal and professional development stipends
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Family planning assistance
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Flexible time off and company-wide global break days
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Over 4 months of paid parental leave
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Paid time off to volunteer