Senior Research Data Scientist, YouTube Ads

Google LLC; Mountain View (CA); Hybrid; USD 174,000 - 252,000; Full time

Benefits offered by this job

Bonus target (15%)

Equity

Benefits

Job summary

Google LLC’s YouTube Ads team is seeking a Senior Research Data Scientist to optimize advertising performance. You will translate advertiser goals into real-time decision making and build large-scale optimization systems using mathematical modeling, auction theory, risk management, and machine learning.

The role emphasizes collaboration with cross-functional teams and leveraging data infrastructure to deliver measurable business impact.

Qualifications

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

Responsibilities

• Partner with stakeholders across cross-projects to identify and clarify business questions and translate them into tractable analysis and evaluation metrics.
• Design and evaluate models using data infrastructure to express and solve defined problems.
• Gather information on business goals, priorities, and data infrastructure to inform analyses.
• Own data collection, extraction, and validation across sources to ensure quality for analysis.

Skills

Python

SQL

R

Statistical analysis

Education

Master's degree

PhD (preferred)

Tools

SQL

Job description

Senior Research Data Scientist, YouTube Ads

Share Senior Research Data Scientist, YouTube Ads

corporate_fare YouTube place Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

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

Preferred qualifications:

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

About the job

As a part of the YouTube optimization team, you will focus on delivering the best performances to the advertisers advertising on YouTube. In this role, you will work with advertisers who each have a business goal to achieve, such as getting the most conversions within their budget, the most clicks under a cost-per-click limit, building awareness of their brand, or many other more advanced settings. You will be a part of the team responsible for the backend systems that power all these optimizations.

In this role, you will manage advertisers' spend and translate their business goals into real-time decision making on which ads to show, and to achieve this goal, you will develop large-scale optimization systems by utilizing a variety of different tools such as mathematical and statistical modeling, auction theory, risk management, and machine learning (deep networks, Bayesian, etc.).

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

• Partner with stakeholders across cross-projects and team settings to identify and clarify business or product questions to answer, providing feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Leverage custom data infrastructure or existing data models as appropriate, using specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python), independently formatting, re-structuring or validating data to ensure quality, and review the dataset to ensure it is ready for analysis.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity 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 condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.