Join Google's Large Customer Sales (LCS) team as a Marketing Science Lead and become a strategic partner to leading brands and agencies. This role offers a unique opportunity to work at the forefront of technology, influencing market-shaping strategies and driving significant business outcomes for major global clients. You'll be instrumental in helping businesses navigate industry shifts and achieve growth by leveraging Google's comprehensive advertising solutions across Search, YouTube, and Measurement.

As part of the LCS team, you'll collaborate with executives, drive innovation, and deliver tangible results. This position is perfect for those who thrive in a dynamic environment and are passionate about using data to solve complex business challenges and unlock new opportunities.

As a Marketing Science Lead, you will spearhead the development and execution of strategic client learning agendas and experimentation roadmaps. You'll utilize A/B testing, Geo-experiments, and other Google proprietary methods to quantify and drive business growth through Google Ads investments.

Your role involves distilling complex analytical and experimental findings into actionable, non-technical business recommendations and executive-ready presentations. You will also serve as a trusted consultant, assisting advertisers in auditing and modernizing their data infrastructure to maintain optimal ad performance and bidding efficiency amidst privacy changes.

Furthermore, you'll advise advertisers on budget allocation and testing feasibility. This includes leading executive reviews and workshops to foster investment confidence among sales teams and agency partners, ensuring alignment and strategic execution.

Ideal candidates will possess a Bachelor's degree or equivalent practical experience, coupled with a minimum of five years in media analytics, advertising sales, digital media, marketing, consulting, or financial analysis. Demonstrated experience working collaboratively with partners to identify technical challenges and opportunities, as well as selling AdTech/MarTech solutions, is essential.

We are seeking individuals with a Master's degree or MBA in a quantitative field such as Data Analytics or Economics. Preferred qualifications include proven experience in quantifying ROI and enhancing ad spend effectiveness through iterative testing. This includes expertise in experimental methods (A/B testing, Geo experiments, user lift experiments), advanced attribution (SKAN, MTA), and statistical methods (causal inference, MMM, Statistical MTA).

Experience managing and influencing senior stakeholder relationships, recommending data-driven strategies for product and customer optimization, and a strong understanding of incrementality testing, causal impact analysis, MMM, and MTA are highly valued. A solid grasp of brand and performance measurement principles is also required.