Google's gTech Ads team is seeking a Business Data Scientist to join their Data Science team in Singapore. This role sits at the intersection of data science, marketing analytics, and client services, focusing on helping customers maximize their advertising investments through data-driven insights and solutions.
The position requires a blend of technical expertise in data science and machine learning, combined with strong business acumen and client communication skills. You'll be working with Google's advertising products stack, providing sophisticated analytical solutions to help customers optimize their marketing effectiveness.
As a Business Data Scientist, you'll lead data science initiatives for client engagements, focusing on marketing effectiveness and portfolio management. The role involves collaborating closely with customers to understand their challenges, developing appropriate statistical models, and translating complex analytical results into actionable business insights.
The ideal candidate should have a strong foundation in statistics and machine learning, proficiency in programming languages like Python and SQL, and experience in marketing analytics. You'll be part of a global, cross-functional team that ensures customers get the best return on investment with Google while maintaining trusted partnerships.
This role offers an exciting opportunity to work with cutting-edge technology and data science applications in digital advertising, while making a direct impact on Google's customers' success. You'll have the chance to contribute to innovative solutions that scale across millions of customers worldwide, while working with diverse teams and stakeholders both internally and externally.
The position combines technical depth with business impact, offering opportunities for both professional growth and meaningful contribution to Google's advertising ecosystem. You'll be at the forefront of applying data science to real-world marketing challenges, while working in a collaborative environment that values innovation and customer success.