Business Data Scientist, YouTube Marketing
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.
As a Business Data Scientist on core and cultural moments, you will partner closely with YT marketing and product teams to engage casual users with YT exclusive content during tentpole moments (sports, award ceremonies, cultural celebrations) and re-engage lapsed users with off platform brand campaigns. You will be tasked with understanding direct and halo impacts of these campaigns as well as opportunities to optimize them through user personalization.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Minimum qualifications:
- Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
- Experience conducting regression analysis.
Preferred qualifications:
- 2 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- Experience conducting causal inference analysis.
Data & ML pay context
Based on 1,582 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $204K (10th–90th percentile: $105K–$246K).
This posting lists $116K–$166K, below the $162K market median.
See the full Data & ML salary breakdown →