Google is seeking a Data Scientist to join their Connected TV (CTV) team, focusing on search and discovery initiatives. This role offers an exciting opportunity to work on YouTube's Living Room Apps, where you'll be instrumental in improving content recommendations and enhancing user experience. Working alongside Product Managers, Engineers, and UX Researchers, you'll leverage advanced analytics and machine learning techniques to drive CTV user growth and watch-time optimization.
The position requires strong analytical skills and expertise in programming languages like Python, R, and SQL. You'll be responsible for designing and implementing sophisticated mathematical models, analyzing recommendation systems, and developing metrics to measure user experience success. The role combines technical expertise with strategic thinking, as you'll need to translate business questions into actionable analyses and solutions.
Google offers a competitive compensation package, including a base salary range of $127,000-$187,000, plus bonus, equity, and comprehensive benefits. The company is known for its inclusive culture and commitment to diversity, providing an environment where data scientists can thrive and make meaningful impacts on products used by millions.
This is an excellent opportunity for candidates with a strong quantitative background (Master's degree required) and at least 3 years of relevant experience. You'll be working at the intersection of data science and product development, helping shape the future of connected TV experiences while being supported by Google's vast resources and innovative technology stack.
The role is based in San Bruno, CA, where you'll have the chance to collaborate with world-class teams and contribute to projects that directly impact how people discover and consume content on Connected TV platforms. Google's commitment to professional growth, combined with the technical challenges of working with large-scale data and complex recommendation systems, makes this an ideal position for data scientists looking to advance their careers while working on cutting-edge technology.