Marketing Science Lead
Google · Posted Oct 8
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies, helping them navigate industry shifts and drive business performance by selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a Marketing Science Lead, you will act as an advisor to Google's largest and most sophisticated advertisers with multi-million dollar budgets, leading the charter for the science of Google advertising. The role sits at the intersection of media, technology, and quantitative analysis, designing and deploying measurement methods and experimentation strategy to improve advertiser business outcomes and unlock new avenues for growth.
What you will do
- Define and execute strategic client learning agendas and experimentation roadmaps using A/B testing, geo-experiments and other Google proprietary methods to quantify and unlock business growth generated by investments from Google Ads.
- Distill complex analytical and experimental findings into highly actionable, non-technical business recommendations and executive-ready presentations that marketing leaders can immediately deploy to drive revenue.
- Act as trusted consultant to help advertisers audit and modernize their data infrastructure, safeguarding their long-term ad performance and automated bidding efficiency against privacy changes and signal loss.
- Advise advertisers on budget allocation and testing feasibility, while leading executive reviews and workshops to build investment confidence across sales teams and agency partners.
Skills used in this role
Preferred qualifications
- MBA or Master's degree in quantitative field like Data Analytics, Economics.
- Experience in quantifying Return on Investment (ROI) and improving ROI of ads spends through test and learn approach in one of the following: experimental methods (e.g., A/B testing, geo experiments, user lift experiments), advanced attribution (e.g., SKAN, MTA), statistical methods (e.g., causal inference, MMM, statistical MTA).
- Experience managing and influencing executive stakeholder relationships on recommending data driven ways to improve product and customer strategy to drive business outcomes.
- Experience with incrementality testing, causal impact analysis, MMM, and MTA.
- Understanding of brand and performance measurement.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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