Google's gTech Ads Professional Services team is seeking a Data Scientist to help measure and optimize marketing ROI for their largest clients. This role combines advanced analytics with practical business impact, requiring expertise in machine learning, statistics, and marketing effectiveness. The position offers the opportunity to work with Google's cutting-edge technology while solving real-world marketing challenges for major clients.
The ideal candidate will bring strong technical skills in Python, SQL, and statistical analysis, along with experience in Computer Vision and NLP. They'll lead data science initiatives, developing bespoke models to address client business challenges, and translate complex analytical insights into actionable business recommendations.
At Google, you'll be part of a team that approaches marketing uniquely - combining technology with user-centric solutions. The role offers exposure to Google's largest clients, the chance to work with cutting-edge AI technologies, and the opportunity to impact marketing strategies at a global scale. You'll collaborate with cross-functional teams, from product development to client-facing roles, while helping drive innovation in marketing effectiveness measurement.
The position requires a Master's degree in a quantitative field and at least 3 years of relevant experience, though candidates with PhDs are preferred. This role is perfect for someone who combines technical expertise with business acumen and wants to work at the intersection of data science and marketing in one of the world's leading technology companies.