Senior Research Data Scientist, YouTube Ads
Mountain View, CA, USA · Senior · Full-time · Posted Oct 13, 2026
- Experience
- 5 years of relevant experience, or 3 years with a PhD; preferred: 8 years, or 6 years with a PhD.
- Education
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
About the job
Develops large-scale optimization systems for YouTube Ads, translating advertisers’ business goals into real-time ad decisions using modeling, auction theory, risk management, and machine learning.
What you'll do
- Partner with stakeholders to define business questions and translate them into analyses, evaluation metrics, or mathematical models.
- Design and evaluate models that express and solve defined problems.
- Gather, compile, format, and validate data from multiple sources for analysis.
What they ask for
- Master's degree in a stated quantitative field or a related quantitative field.
- 5 years of relevant analytics, coding, database-querying, or statistical-analysis experience; alternatively, 3 years with a PhD.
Nice to have
- 8 years of relevant experience; alternatively, 6 years with a PhD.
Pay
$174000 - $252000 (USD) base salary
Tools
SQL, R, Python, machine learning, deep networks, Bayesian
AI focus
Uses machine learning, including deep networks and Bayesian methods, to develop ad optimization systems.
Model-written summary · the original posting is authoritative