Data Scientist YouTube Ads User Experience
Job Overview
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Job Description
Data Scientist YouTube Ads User Experience
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
About the job
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Manage ad quality to optimize user trust and long-term value.
Key skills/competency
- Data Science
- YouTube Ads
- User Experience
- Product Analytics
- Business Problems
- Python
- R
- SQL
- Statistical Analysis
- Machine Learning
How to Get Hired at Google
- Tailor your resume: Highlight your experience in data science, user experience, and ad platforms, using keywords from the job description like Python, R, SQL, and statistical analysis.
- Showcase your impact: Quantify your achievements in previous roles, demonstrating how you've used analytics to solve product or business problems.
- Prepare for technical interviews: Brush up on your coding skills (Python, R, SQL), statistical modeling, and database querying for rigorous technical assessments.
- Understand Google's culture: Research Google's mission, values, and commitment to equal opportunity to align your responses during the interview process.
- Engage with Google Careers: Explore Google's career site for insights into their hiring process and to find resources for applicants.
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