Principal, Data Scientist, Search Discover
As the Principal Data Scientist for Discover, you will lead the data science team for Google's global feed products, including Discover as well as Ember and a high-priority, 0-to-1 AI feed product. You will act not just as a data leader but also as a product and business leader, driving ranking, experience, and content strategy to unlock true product-market fit and projected growth. This is a high-leverage role where you will make autonomous decisions regarding personalization and ranking strategies for products with billions of users.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $272,000-$383,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive cross-functional collaboration across ranking, product experience, and content ecosystem teams to ensure seamless execution and alignment on shared objectives.
- Ensure a strong metrics foundation and provide technical oversight for ranking and personalization strategies to scale the Discover business.
- Lead the development and implementation of advanced analytics techniques, including predictive modeling and AI, for recommendation systems.
- Establish KPIs, metrics, and performance dashboards to monitor engagement and identify areas for improvement where engagement lags behind major competitors.
- Be able to programmatically ensure quality and accuracy across the Data Science organization and scale a specialized team of 19 data scientists.
Minimum qualifications:
Bachelor’s degree in Data Science, similar technical field of study, or equivalent practical experience.
- 15 years of experience in data science or other quantitative fields such as: statistics, machine learning, software engineering, or ML engineering.
- Experience in using data insights to drive product excellence.
Preferred qualifications:
- Master's degree or PhD in Data Science, Statistics, or equivalent.
- Experience building feed products and leading innovation in recommendation systems and personalization.
- Innovative problem solver who turns ambiguity into clear solutions, comfortable with new technology and out-of-the-box thinking.
- Strong communicator and creative with data presentations to executive and business audiences.