Remote Lead Applied Scientist – Data Science Platform

Reddit, Inc.; San Francisco (CA); Remote; USD 233,000 - 326,000; Full time

Benefits offered by this job

100% remote opportunity (US)

Comprehensive Healthcare Benefits and

401K with Employer Match

Global Benefit programs

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid VolunteerTime

Generous Paid Parental Leave

Job summary

Reddit, Inc. is seeking a senior Applied Scientist on the Data Science Platform team to lead the scientific direction for agentic analytics, causal inference, and forecasting.

You will turn research advances into reliable software used across Reddit, partnering with engineers and data scientists to build an analytics agent capable of exploring questions, selecting methods, and delivering reproducible results.

Qualifications

• 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, with practical experience developing causal methods for observational data and evaluating the assumptions that make their conclusions credible.
• Experience developing and deploying forecasting systems, including time series modeling, temporal validation, prediction intervals, and assessment of performance as underlying conditions change.
• Strong software engineering skills, including substantial experience writing and maintaining production Python software. Familiarity with API design, automated testing, code review, version control, and operational monitoring.
• A demonstrated ability to critically assess scientific literature, reproduce relevant findings, and turn promising methods into reliable software that solves practical problems.
• Experience developing LLM applications or analytical agents, including tool use, code execution, and systematic evaluation of their outputs.
• Clear communication of statistical assumptions, uncertainty, and technical tradeoffs to business audiences.
• Experience developing other technical contributors through mentorship, design reviews, and collaboration across organizational boundaries.
• The ability to make progress on ambiguous problems, prioritize consequential work, and deliver useful capabilities through rapid iteration.

Responsibilities

• Define the scientific roadmap for Data Science Platform across agentic analytics, causal inference and forecasting, identifying opportunities where advances in methodology can improve decision-making at scale across Reddit.
• Research, evaluate, and implement emerging methods. Move quickly from research papers to working prototypes, validate their practical value, and develop successful approaches into maintained production capabilities.
• Design and build our analytics agent's architecture and capabilities, including how the agent decomposes questions, selects scientific methods, uses data and analytical tools, checks assumptions, and produces reproducible results.
• Build reusable causal inference tools that help teams estimate the 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 that measure the correctness and usefulness of agent-generated analyses. Build benchmarks, simulations, and automated checks that detect methodological errors, unsupported claims, and misleading interpretations.
• Own the implementation of scientific methods in production software, writing robust Python code and partnering with engineers on libraries, APIs, data pipelines, observability, and system design.
• Work with data scientists and business partners to identify recurring analytical needs and translate them into accessible platform capabilities, documentation, and workflows.
• Influence technical and organizational strategy through clear scientific recommendations, mentor scientists and engineers, and share methodological advances internally and externally where appropriate.

Skills

Statistical inference

Causal inference

Forecasting systems

Python

API design

Automated testing

Version control

Observability

LLM applications

Mentorship

Communication

Education

PhD in Statistics / Economics / CS / Applied Mathematics / OR

Master's with depth of expertise

Tools

APIs

Automated testing

Version control

Observability

Job description

Reddit, Inc. is seeking a senior Applied Scientist on the Data Science Platform team to lead the scientific direction for agentic analytics, causal inference, and forecasting.

You will turn research advances into reliable software used across Reddit, partnering with engineers and data scientists to build an analytics agent capable of exploring questions, selecting methods, and delivering reproducible results.