Join Google's Large Customer Sales team as a Marketing Science Lead and become a strategic advisor to top advertisers. You'll spearhead the science behind Google advertising, focusing on driving profitable growth through innovative measurement and experimentation. This role operates at the nexus of media, technology, and data, guiding clients in making data-backed decisions for their advertising investments and unlocking new growth opportunities.

Our LCS team partners with leading brands and agencies, challenging conventional thinking and driving significant business performance. You'll leverage Google's comprehensive advertising solutions across Search, YouTube, and Measurement, influencing market-shaping strategies and delivering tangible results for major global businesses.

Develop and implement client learning agendas and sophisticated experimentation roadmaps using A/B testing and other Google proprietary methods to quantify and enhance business growth from Google Ads investments.

Translate complex analytical findings into clear, actionable business recommendations and executive-ready presentations, empowering marketing leaders to drive revenue immediately.

Serve as a trusted consultant to help advertisers update their data infrastructure, ensuring long-term ad performance and automated bidding efficiency in the face of privacy shifts and signal loss.

Provide expert guidance on budget allocation and testing feasibility, leading executive reviews and workshops to build investment confidence among sales teams and agency partners.

A Bachelor's degree or equivalent practical experience is required.

At least 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis is essential.

Preferred qualifications include an MBA or Master's degree in a quantitative field like Data Analytics or Economics.

Demonstrated experience in quantifying ROI and improving ad spend ROI through a test-and-learn approach, utilizing experimental methods, advanced attribution, or statistical techniques is highly valued.

Experience in managing and influencing executive stakeholders with data-driven recommendations to improve product and customer strategy is also a plus.

Familiarity with incrementality testing, causal impact analysis, MMM, and MTA, along with a solid understanding of brand and performance measurement, are advantageous.