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Staff Data Scientist
Ads Measurement ML
Confirmed live in the last 24 hours
Remote • United States
Experience Level
Desired Skills
Data Science
Data Structures & Algorithms
  • Relevant experiences in the Ads domain or marketing attribution
  • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Computer Science,, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor's degree, a minimum of 2+ years of industry data science experience)
  • Proficiency in at least one of the areas: conversion modeling, clustering algorithms, large scale unsupervised learning
  • Experience with online experimentation and causal inference
  • Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
  • Strong ability to communicate and discuss complex topics with technical & non-technical audiences
  • Strong analytical and communication skills
  • Strong skills in programming (Python or R) and SQL
  • Build machine learning models to improve ML focused Ads Measurement products such as Modeled Conversions, and Identity Resolution
  • You will design metrics and mechanisms to understand and evaluate the performance of various Measurement products
  • Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements
  • This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, product/feature analyses and data deep dives), along with working on ETLs and data aggregations needed for training, testing and productionizing models
  • Serve as a thought-partner for Product Managers, Engineers, and Leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling
  • Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

501-1,000 employees

Social news website & forum
Company Overview
Reddit's mission is to bring community and belonging to everyone in the world. The company operates a social news website and forum where content is socially curated by members.
  • Comprehensive health benefits
  • Flexible unlimited vacation days & monthly global wellness days
  • Family planning funds & 4+ months paid parental leave
  • Personal & professional development funds
  • Paid volunteer time off
  • Workspace & home office benefits
Company Core Values
  • Evolve: Only by continually improving and learning will we succeed.
  • Add Value: We constantly evaluate our work to ensure it’s adding value and bringing us closer to achieving our mission. It’s easy to fall into the trap of conflating activity with value. Adding value requires hard work, but not all hard work is valuable.
  • Default: Open The free flow of ideas and feedback is the lifeblood of a healthy organization, and Reddit must embrace it if we are to thrive.