Data Scientist III, Research, YouTube Ads

Google; Mountain View (CA); On-site; USD 141,000 - 202,000; Full time

Job summary

A leading company is seeking a Data Scientist III to optimize user experience in YouTube Ads. This role involves developing analytical models and collaborating with stakeholders to enhance ads quality. Candidates should possess a Master's or PhD with significant analytics experience. Join a diverse team committed to fostering an inclusive workplace!

Benefits

Bonus

Equity

Benefits

Qualifications

• Master's degree or PhD preferred.
• 3+ years of experience in analytics or coding.
• Knowledge of Ads systems and statistical analysis.

Responsibilities

• Collaborate with stakeholders to identify business questions.
• Design and evaluate mathematical models.
• Own data collection and validation processes.

Skills

Analytics

Coding

Statistical Analysis

Machine Learning

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

Tools

SQL

Python

R

Job description

Data Scientist III, Research, YouTube Ads

corporate_fare Google place Mountain View, CA, USA

Apply

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or conducting statistical analysis, or a PhD degree.

Preferred qualifications:

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or conducting statistical analysis, or a PhD degree.
• Knowledge of machine learning (ML), constrained theory, and causal inference.
• Knowledge of Ads systems, including auction, serving, and ads quality.

About the job

In this role, you will develop auction user cost to optimize for business, implement user perception survey infrastructure to measure user experience, and improve ads quality through relevance, creative quality, and more.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Individual pay within the range depends on work location, skills, experience, and education. Your recruiter can share specific details during the hiring process.

Please note that the listed compensation reflects the base salary only and does not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Collaborate with stakeholders across projects to identify and clarify business or product questions. Provide feedback to translate questions into analysis, evaluation metrics, or models.
• Design and evaluate models to mathematically express and solve defined problems, using specialized knowledge and data infrastructure.
• Gather information on business goals, priorities, and data infrastructure related to the questions.
• Own the process of data collection, extraction, and validation across sources using tools like SQL, R, Python, ensuring data quality and readiness for analysis.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a diverse workforce and an inclusive culture. We provide equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions, among others. See Google's EEO Policy and related resources.

English proficiency is required for all roles to facilitate global collaboration.

To all recruitment agencies: Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.