Senior Staff Applied Scientist, Science Platform

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $232.5k - $325.5k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 0%

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Define the scientific roadmap for Reddit’s Data Science Platform across agentic analytics, causal inference, and forecasting • Research, evaluate, and implement emerging methods, moving from research papers to prototypes and production capabilities • Design and build the analytics agent’s architecture and capabilities • Build reusable causal inference tools for estimating effects of product changes, policies, and business decisions using observational data • Develop shared forecasting capabilities for business and product metrics, including probabilistic predictions, hierarchical forecasts, and scenario analysis • Create evaluation frameworks, benchmarks, simulations, and automated checks for agent-generated analyses • Own production implementation of scientific methods using robust Python code • Partner with engineers on libraries, APIs, data pipelines, observability, and system design • Translate recurring analytical needs into platform capabilities, documentation, and workflows • Influence technical and organizational strategy, mentor scientists and engineers, and share methodological advances

🎯 Requirements

• A doctorate in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related discipline; alternatively, a master’s degree supported by comparable depth of expertise • At least eight years of relevant industry work following a doctorate, or ten years with a master’s degree, in applied science, data science, scientific software development, or related roles • Deep knowledge of statistical inference and econometrics • Practical experience developing causal methods for observational data and evaluating assumptions • Experience developing and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and performance assessment • Strong software engineering skills and substantial experience writing and maintaining production Python software • Familiarity with API design, automated testing, code review, version control, and operational monitoring • Ability to assess scientific literature, reproduce findings, and turn methods into reliable software • Experience developing LLM applications or analytical agents, including tool use, code execution, and systematic output evaluation • Ability to communicate statistical assumptions, uncertainty, and technical tradeoffs to business audiences • Experience developing technical contributors through mentorship, design reviews, and cross-organizational collaboration • Ability to progress on ambiguous problems, prioritize consequential work, and deliver through rapid iteration

🏖️ Benefits

• 100% remote opportunity • Comprehensive Healthcare Benefits and Income Replacement Programs • 401K with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • Equity in the form of restricted stock units • Medical, dental, and vision insurance • Interview recording opt-out opportunity

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