Senior Staff Applied Scientist, Science Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the scientific agenda for Reddit’s Data Science Platform focusing on agentic analytics, causal inference, and forecasting.

• Investigate, assess, and apply emerging methodologies, transitioning from research articles to prototypes and sustainable production capabilities.

• Architect and construct the analytics agent’s framework and functionalities.

• Create reusable causal inference tools to assess the impact of product modifications, policies, and business decisions using observational data.

• Develop collaborative forecasting functionalities, encompassing probabilistic predictions, hierarchical forecasts, and scenario analysis.

• Design evaluation frameworks, benchmarks, simulations, and automated checks for analyses generated by agents.

• Oversee the practical application of scientific methods through robust Python coding.

• Collaborate with engineers on libraries, APIs, data pipelines, observability, and system architecture.

• Transform recurring analytical requirements into user-friendly platform capabilities, documentation, and workflows.

• Offer scientific guidance, mentor scientists and engineers, and disseminate methodological advancements internally and externally.

⛳️ Requirements

• A Ph.D. in Statistics, Economics, Computer Science, Applied Mathematics, Operations Research, or a related field; or a master’s degree with equivalent expertise.

• A minimum of eight years of relevant experience in the industry post-Ph.D., or ten years with a master’s degree, in applied science, data science, scientific software development, or similar roles.

• Profound understanding of statistical inference and econometrics.

• Practical experience in developing causal methods for observational data and assessing their assumptions.

• Experience in creating and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and performance evaluation as conditions evolve.

• Strong software engineering proficiency and considerable experience in writing and maintaining production-grade Python software.

• Knowledge of API design, automated testing, code reviews, version control, and operational monitoring.

• Capability to critically evaluate scientific literature, replicate significant findings, and convert promising methods into reliable software.

• Experience in developing LLM applications or analytical agents, including tool utilization, code execution, and systematic output assessment.

• Ability to communicate statistical assumptions, uncertainties, and technical trade-offs to business stakeholders.

• History of developing technical contributors through mentorship, design reviews, and cross-organizational collaboration.

• Aptitude for tackling ambiguous problems, prioritizing impactful work, and delivering results through rapid iteration.

• Preferred: publications, contributions to open-source projects, or widely utilized internal tools.

• Preferred: experience in constructing scientific libraries or platforms for data scientists.

• Preferred: experience in building analytical agents at scale using data retrieval, method selection, Python or SQL execution, and validating findings.

🏝️ Benefits

• 100% remote work opportunity.

• Comprehensive healthcare benefits and income replacement programs.

• 401K plan with employer matching.

• Global benefit programs, including workspace, professional development, and caregiving support.

• Family planning assistance.

• Gender-affirming care.

• Mental health and coaching benefits.

• Flexible vacation and paid volunteer time off.

• Generous paid parental leave.

• Equity in the form of restricted stock units.

• Potential commission based on the position offered.

• Medical, dental, and vision insurance.

• Option to opt out of interview recording, transcription, and summarization.