Senior Business Data Scientist, AI and Data Engineering

Google is a global technology company that provides internet-related services and products.
$150,000 - $223,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI

Description For Senior Business Data Scientist, AI and Data Engineering

YouTube's Impact Measurement team is seeking a Senior Business Data Scientist specializing in AI and Data Engineering to drive critical business decisions through advanced statistical methods and data analysis. This role combines cutting-edge AI technology with practical business applications, focusing on video content classification, sentiment analysis, and pattern extraction from diverse datasets. The position offers a competitive compensation package ranging from $150,000 to $223,000, plus bonus, equity, and comprehensive benefits.

The ideal candidate will have at least 4 years of experience in analytics and coding, with preferred qualifications including a PhD and 6 years of data science experience. You'll work at the intersection of technology and creativity, helping YouTube achieve its mission of giving everyone a voice and showing them the world. The role involves extracting insights from unconventional data sources, communicating findings to stakeholders, and staying current with the latest ML/AI developments.

Working at YouTube means joining a dynamic environment where technology meets boundless creativity. You'll be part of a team that moves at the speed of culture, exploring new ideas and solving real problems. The company offers a collaborative atmosphere where everyone works together to show people the world, with locations in major tech hubs including San Bruno, Mountain View, and New York.

This position combines technical expertise with business impact, requiring both strong analytical skills and the ability to communicate complex findings to diverse audiences. You'll have the opportunity to influence critical business decisions while working with cutting-edge AI technologies. The role offers professional growth through peer review and knowledge sharing, making it ideal for someone passionate about both data science and its practical applications in business.

Last updated 4 days ago

Responsibilities For Senior Business Data Scientist, AI and Data Engineering

  • Extract insights from datasets, including unconventional sources like videos and open-text surveys using AI techniques
  • Present and communicate insights and recommendations to executives, leaders, and cross-functional partners
  • Serve as a peer-reviewer and consultant to other members of the team
  • Learn and share knowledge of the latest ML/AI advancements

Requirements For Senior Business Data Scientist, AI and Data Engineering

Python
  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis
  • PhD in Computer Science, Statistics, Economics, Engineering or Mathematics (preferred)
  • 6 years of experience in data science or quantitative analytics with a focus on statistical modeling, machine learning, and AI (preferred)
  • Experience with human evaluation data (e.g., surveys) (preferred)

Benefits For Senior Business Data Scientist, AI and Data Engineering

Medical Insurance
401k
Equity
  • Bonus
  • Equity
  • Benefits package

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