Full-Time
Senior Research Data Scientist
Corex, Youtube
10,001+ employees
Tech giant offering search, ads, cloud
No salary listed
Company Historically Provides H1B Sponsorship
San Bruno, CA, USA + 1 more
More locations: Mountain View, CA, USA
In Person
On-site in San Bruno or Mountain View, California.
 Data & Analytics (1) |
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- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
- 5 years of experience using Python for statistical programming.
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
- Build new processes, procedures, methods, tests, and components to understanding the relationship between ads/business generation and organic engagement on YouTube.
- Report on key performance indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
- Build and prototype analysis and business cases iteratively to provide insights at scale. Develop knowledge of Google data structures and metrics, advocating for changes where needed for product development.
- Define and oversee key concepts such as ad load, sensitivity, relevance and user impact, and analyze how this relates to usage patterns across the YouTube platform.
- 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
Google provides internet services and products, including a widely used search engine and a large ecosystem of tools for individuals and businesses. It works by processing user queries and ranking results with relevance and personalized data, while its advertising platforms show targeted ads to users. Its products span cloud computing (Google Cloud), productivity software (Google Workspace), and hardware like Pixel phones and Nest devices, all connected through data and machine learning. Its goal is to organize the world’s information so it is universally accessible and useful, while supporting a sustainable business model built on ads and a growing software, cloud, and hardware portfolio.
Company Size
10,001+
Company Stage
IPO
Headquarters
Mountain View, California
Founded
1998
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Simplify's Take
What believers are saying
- Search dominance preserves high-value ad inventory and targeting precision.
- Cross-selling across Workspace and Cloud can deepen enterprise lock-in.
- Hardware and Android strengthen ecosystem stickiness and recurring service usage.
What critics are saying
- Answer engines reduce search clicks, shrinking monetizable ad inventory.
- Antitrust remedies could restrict adtech integration and default-placement deals.
- Cloud rivals can outspend Google on AI infrastructure and enterprise contracts.
What makes Google unique
- Google Search still anchors massive intent-driven advertising revenue.
- Google combines Search, YouTube, Cloud, Workspace, Android, and hardware.
- Google.org supports climate data infrastructure through grants like electricityMap.
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Is has just been announced Google.org provided a €1,000,000 grant to electricityMap, a leading provider of granular data on electricity and carbon intensity. In addition to bringing new data to the platform and making electricity data more accessible, electricityMap will use the funding to help policy makers, academic researchers and the private sector understand the key factors of sustainable electricity consumption, and drive demand for carbon-free solutions. Check out our open positions here: https://lnkd.in/eAyzmDCP | 110 comments on LinkedIn
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