Marketing Science Lead
Google · Posted Nov 4
Search engine, cloud computing, software, hardware, and artificial intelligence services
Get a personal compatibility score
Add a resume for personal matches
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, selling Google's full suite of advertising solutions across Search, YouTube, Measurement and more. The role sits at the intersection of advertising measurement, experimentation and client consulting, helping advertisers navigate industry shifts and drive business performance. As a Marketing Science Lead, you will define client learning agendas and experimentation roadmaps, translate analytical findings into executive-ready recommendations, and advise advertisers on data infrastructure, measurement and budget allocation.
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
What the employer is looking for
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
- Experience working with partners to identify technical challenges and opportunities, and selling AdTech/MarTech solutions.
Preferred qualifications
- MBA or Master's degree in quantitative field like Data Analytics, Economics.
- Experience in quantifying 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 senior 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
Recent coverage
Mashable
Google I/O 2026: Even more AI is coming to Google Search2026-05-19
The Hacker News
Third-party Android app stores can now apply to Google for one-tap installs2026-10-28
Engadget
Google's new AI features want you to talk to Gemini for everything2026-05-22