Research Data Scientist, Brand Advertising, YouTube Ads

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a Research Data Scientist for the Brand Advertising team focused on YouTube Ads in Mountain View, CA. The role emphasizes building optimization solutions and advanced analytics to shift advertising budgets toward YouTube, collaborating with engineers and PMs to deliver data-driven improvements.

The ideal candidate brings a strong quantitative background, 3+ years of analytics experience, and proficiency in Python, R, and SQL, with exposure to adtech and causal inference.

Qualifications

• Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, or related quantitative field.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 3 years of work experience with online marketplace design, adtech, and causal inference.

Responsibilities

• Collaborate with stakeholders to translate business questions into tractable analyses, metrics, or models.
• Design and evaluate models using data infrastructure to solve defined problems with limited precedent.
• Gather business goals and data context, source data across platforms, and ensure data quality for analysis.
• Own data collection, extraction, and preparation across sources, validating datasets for analysis and modeling.

Skills

Analytics for product problems

Mentoring juniors

Cross-functional collaboration

Education

Master's degree in quantitative field

PhD in quantitative field (preferred)

Tools

Python

R

SQL

Job description

Research Data Scientist, Brand Advertising, YouTube Ads

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YouTube Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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

Preferred qualifications:

• PhD degree in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, Economics, or Business Science.
• 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 a PhD degree.

About the job

As a Data Scientist in the Brand Ads Quality team, you will leverage eclectic quantitative repertoire, spanning operations research, game theory, statistics, and machine learning skills, to build industry-leading optimization solutions that will enable advertisers to divert a greater share of marketing budgets to YouTube where user engagement outpaces all other media channels. You will be included in tasks such as aiming relevance, creative recommendation, bidding optimization, and impact measurement. You will grow in an environment, proactively identify opportunities to enhance a business ecosystem, and showcase project ownership from solution design to engineering implementation and data-driven analyses culminating in production launch. You will partner with Software Engineers (SWEs) and Project Managers (PMs).

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

As a Data Scientist in the Brand Ads Quality team, you will leverage eclectic quantitative repertoire, spanning operations research, game theory, statistics, and machine learning skills, to build industry-leading optimization solutions that will enable advertisers to divert a greater share of marketing budgets to YouTube where user engagement outpaces all other media channels. You will be included in tasks such as aiming relevance, creative recommendation, bidding optimization, and impact measurement. You will grow in an environment, proactively identify opportunities to enhance a business ecosystem, and showcase project ownership from solution design to engineering implementation and data-driven analyses culminating in production launch. You will partner with Software Engineers (SWEs) and Project Managers (PMs).

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

• US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
• Learn more about benefits at Google .

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer and provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate using specialized knowledge and design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around questions to answer and existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python); separately format, re-structure, or validate 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.

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.