Google Internship Data Science Jobs in California

corporate_fare Google place Mountain View, CA, USA

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Data Scientist, Contextual Search

• Bachelor'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) or 5 years of work experience with a Master's degree.

• 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).

The Contextual Search Data Science team is at the forefront of shaping the future of search. Our mission is to deeply understand and enhance user experiences by leveraging contextual data. We drive product strategy and innovation for some of Google's most critical Search surfaces, ensuring our AI-first features are intuitive, effective, and power new ways for users to find exactly what they need in the moment.

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.

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

• Delve deep into user behavior patterns, identifying opportunities for growth, and understanding the end-to-end user journey across our contextual search surfaces.
• Design, implement, and analyze A/B tests and other experiments to measure the impact of new contextual features and product changes, ensuring data-driven decisions.
• Build and refine the tools, pipelines, and best practices our team uses, while staying at the forefront of AI techniques to enhance our analytical capabilities.

Guide complex, ambiguous projects from inception to completion, influence cross-functional roadmaps alongside Engineering and Product partners, and mentor junior data scientists on the team.

Google is proudly an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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

Learn more about benefits at Google.

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