Senior Applied Scientist, Data Science Platform

Reddit, Inc.; New York (NY); Remote; USD 233,000 - 326,000; Full time

Benefits offered by this job

100% remote opportunity

Healthcare benefits

401K with employer match

Global benefits programs

Family planning support

Gender-affirming care

Mental health & coaching benefits

Flexible vacation & volunteer time off

Parental leave

Job summary

Reddit, Inc. is seeking a senior technical lead on the Data Science Platform to guide agentic analytics, causal inference, and forecasting across the full development cycle.

You will work with software engineers and data scientists to deploy reliable analytics capabilities and communicate uncertainties clearly. The role emphasizes building production-grade Python software, scalable architectures, and reusable tools for observational data analysis, with opportunities to influence strategy and

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

Econometrics

Causal methods

Forecasting

Time series

Python production

API design

Automated testing

Code reviews

Version control

Observability

System design

Communication of assumptions

Mentorship

Education

PhD in Statistics/CS/Applied Math

Master's degree with depth in related field

Tools

Python

Job description

Reddit, Inc. is seeking a senior technical lead on the Data Science Platform to guide agentic analytics, causal inference, and forecasting across the full development cycle.

You will work with software engineers and data scientists to deploy reliable analytics capabilities and communicate uncertainties clearly. The role emphasizes building production-grade Python software, scalable architectures, and reusable tools for observational data analysis, with opportunities to influence strategy and