Senior Data Scientist - Video and Image Search

• Partner directly with product managers, engineers, and UX research leads to analyze user visual search journeys, identify friction points across the funnel, and evaluate image candidate selection models.
• Analyze user journeys and product funnels, design experiments and analyze complex data sets to generate meaningful insights across Image Search’s touchpoints.
• Lead the analytical cadence for Weekly Business Reviews (WBR), identifying key drivers of week-over-week metric movements and presenting insights to cross-functional partners, including executives.
• Drive strategic alignment across cross-functional teams and advocate for the user by integrating behavioral insights directly into visual search models.

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
• Experience building presentations to translate data and insights into business decisions, and presenting technical solutions to executive stakeholders.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

From the beginning, Google's mission has been to organize the world’s information and make it universally accessible and useful, and we consider it a privilege to be able to help. As technology continues to evolve, our commitment remains to help users in their journey to connect to helpful information more easily.

Google Image Search helps hundreds of millions of users explore the visual world through search queries, image similarity, multimodal understanding, and visual discovery features. Our vision is to empower users to search what they see and seamlessly discover relevant images, visual inspiration, and actionable content. Our mission is to make visual search intuitive, fast, and highly accurate by combining computer vision models, multimodal embeddings, and seamless user experiences across visual search candidate selection, visual candidate reranking, and interactive image viewers.

Join Google Search AI and work at the intersection of industry leading
global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
• Experience building presentations to translate data and insights into business decisions, and presenting technical solutions to executive stakeholders.