Google's gTech Ads team is seeking a Senior Data Scientist to join their Marketing Data Science team, focusing on measuring and optimizing marketing ROI for Google's clients. This role combines advanced analytics, machine learning, and client consultation to deliver impactful solutions for marketing portfolio management.
The position requires a strong foundation in quantitative analysis, with a Master's degree in a relevant field and 4 years of experience in analytics and coding. You'll work at the intersection of data science and business strategy, leading client engagements and developing sophisticated modeling frameworks to address complex marketing challenges.
As a Senior Data Scientist, you'll collaborate with customers to identify and implement statistical solutions, translate technical insights into actionable business recommendations, and work closely with Product/Engineering teams to scale solutions. The role demands expertise in Python, SQL, and marketing analytics, along with fluency in both English and German for effective client communication.
The position offers the opportunity to work with cutting-edge technologies, including Computer Vision and NLP in marketing analytics contexts, and to bring generative AI solutions to customer problems. You'll be part of a cross-functional, global team that ensures Google's customers maximize their return on investment while maintaining trusted partnerships.
Working at Google means joining a company committed to diversity, equality, and inclusion, with a culture that values innovation and collaboration. The role is based in Berlin, Germany, where you'll have the chance to make a significant impact on how businesses leverage Google's advertising products and services.
This is an excellent opportunity for a data scientist who wants to combine technical expertise with business impact, working on complex problems at scale while directly influencing customer success in the digital advertising space.