Senior Data Scientist
Description For Senior Data Scientist
Google's YouTube optimization team is seeking a Senior Data Scientist to join their advertising performance enhancement initiative. This role focuses on delivering excellent performance for YouTube advertisers by managing spend and translating business goals into real-time decision-making systems. The position involves working with sophisticated tools including mathematical and statistical modeling, auction theory, risk management, and machine learning.
The ideal candidate will have strong analytical and coding skills, with experience in Python, R, and SQL. They will be responsible for collaborating with stakeholders to identify business problems, design mathematical models, and implement data-driven solutions. The role requires both technical expertise and business acumen to optimize advertising performance across YouTube's platform.
Working at Google offers exceptional opportunities for growth and impact. The position comes with competitive compensation including a base salary range of $150,000-$223,000, plus bonus, equity, and comprehensive benefits. The team environment is collaborative and innovative, focusing on solving complex problems at scale.
This is an excellent opportunity for quantitative professionals who want to work with cutting-edge technology and big data to drive business decisions. The role combines technical challenges with real business impact, making it ideal for those who want to apply their analytical skills to solve practical problems in digital advertising.
The position is based in Mountain View, CA, offering the chance to work at Google's headquarters alongside talented professionals. The role requires 5+ years of relevant experience or 3+ years with a PhD, making it suitable for experienced data scientists looking to make a significant impact in digital advertising optimization.
Responsibilities For Senior Data Scientist
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
- Provide feedback to translate and refine business questions into metrics, or mathematical models
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
- Design and evaluate models to mathematically express and solve defined problems with limited precedent
- Gather information, business goals, priorities, and organizational context around the questions to answer
- Own the process of gathering, extracting, and compiling data across sources via tools
- Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis
Requirements For Senior Data Scientist
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience
- 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
- 8 years of work experience preferred using analytics to solve product or business problems, coding, querying databases or statistical analysis, or 6 years of work experience with a PhD degree
Benefits For Senior Data Scientist
- bonus
- equity
- benefits
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