Senior Staff Applied Scientist, Science Platform

Reddit, Inc.

. Define the scientific roadmap for Reddit’s Data Science Platform across agentic analytics, causal inference, and forecasting .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $232,500 - $325,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in statistical inference, causal methods, and forecasting systems is essential, along with strong software engineering skills in Python for developing and deploying analytical tools. Proven ability to mentor technical contributors and communicate complex statistical concepts to diverse audiences is critical.

Highest-signal resume keywords

Statistical InferenceCausal Methods DevelopmentForecasting SystemsProduction Python SoftwareMentorship and Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical InferenceCausal MethodsForecasting SystemsTime Series ModelingPython ProgrammingAutomated TestingAPI DesignObservational Data AnalysisPerformance AssessmentLLM Applications Development

Soft Skills

CommunicationMentorshipProblem-SolvingCollaborationPrioritization

Tools & Technologies

Data PipelinesVersion ControlCode ReviewOperational MonitoringSimulation Frameworks

Industry Keywords

Data ScienceApplied ScienceScientific Software DevelopmentEconometricsOperations Research

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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