Business Data Scientist, Global Ads, Marketing, Data Solutions

Google is seeking a Business Data Scientist to join their Marketing Technology and Operations team, focusing on Global Ads and Marketing Data Solutions. This role combines advanced analytics with business impact, requiring expertise in data analysis, machine learning, and marketing technology.

The position involves analyzing large datasets to drive strategic decision-making and optimize business processes for ads marketing teams. You'll be responsible for building data pipelines, developing machine learning models for personalization, and creating solutions to deliver personalized marketing content. The role requires strong technical skills in Python, SQL, and statistical analysis, along with excellent communication abilities to convey complex technical solutions to senior stakeholders.

As a Business Data Scientist, you'll work at the intersection of marketing and technology, helping demonstrate how Google's products solve world problems. The role offers competitive compensation ($127,000-$187,000) plus bonus, equity, and benefits, reflecting Google's commitment to attracting top talent.

The ideal candidate will have at least 3 years of experience in analytics and data science, with a Master's degree in a quantitative field. You'll need to be comfortable with engineering best practices, have strong project management skills, and be able to handle multiple projects under tight deadlines. The role provides an opportunity to impact Google's marketing strategies through data-driven insights and machine learning solutions.

Working at Google means joining a company that values diversity, equality, and inclusion, with a culture focused on innovation and user-centric solutions. The role offers the chance to work with cutting-edge technology and collaborate with talented professionals across different functions. Located in Los Angeles, this position provides an exciting opportunity to work at one of the world's leading technology companies while contributing to the growth and optimization of Google's advertising business.