Business and Marketing Data Scientist, YouTube,... @ Google
placeNew York, New York, United States
businessOn Site
Posted 13 days ago
Your Application Journey
Interview
Email Hiring Manager
****** @google.com
Recommended after applying
Job Details
About the Job
Google's leadership team hand-picks thorny business challenges. As part of the BizOps team you will immerse yourself in data collection, draw actionable insights from analysis, and develop compelling recommendations for senior-level executives. You will support advertisers on YouTube by combining data, creativity, and advertising strategies to drive effective campaigns.
Responsibilities
- Develop metrics to track and evaluate solution deployment.
- Create dashboards and tools for process automation and reporting.
- Curate and validate data to meet quality standards.
- Collaborate with stakeholders to understand business goals and data context.
Minimum Qualifications
- Master's degree in a quantitative discipline or equivalent practical experience.
- 3 years experience with analytics, coding (Python, R, SQL), and statistical analysis.
Preferred Qualifications
- 4 years experience in analytics with emphasis on advertising effectiveness, market research, or brand strategy.
- Experience with machine learning models and AI techniques.
- Ability to work with large datasets and manage multiple projects.
- Proficiency in statistical analysis and data management.
- Excellent project management skills.
Compensation
The US base salary range for this full-time role is $141,000-$202,000 plus bonus, equity, and benefits. Compensation details reflect base salary only. Additional details shared during the hiring process.
Key skills/competency
Business, Marketing, Data Science, Analytics, Advertising, AI, ML, SQL, Python, R
How to Get Hired at Google
🎯 Tips for Getting Hired
- Research Google culture: Understand their mission and innovation via official channels.
- Customize your resume: Highlight analytics, coding, and data science projects.
- Demonstrate technical skills: Emphasize Python, R, SQL proficiency.
- Prepare for interviews: Practice case studies and project management stories.
📝 Interview Preparation Advice
Technical Preparation
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Review Python data science libraries.
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Practice SQL and database querying.
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Study statistical analysis methods.
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Refresh machine learning model concepts.
Behavioral Questions
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Describe a challenging project scenario.
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Explain a time you collaborated across teams.
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Discuss handling multiple projects simultaneously.
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Share experience influencing senior decision-makers.
Frequently Asked Questions
What does Google look for in a Business and Marketing Data Scientist candidate?
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