Business and Marketing Data Scientist, YouTube, Creative Research

Google • Mountain View, CA • 2h ago

The application window will be open until at least August 25, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Minimum qualifications:

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.

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

Preferred qualifications:

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

Experience in advertising effectiveness, market research, brand strategy, or a related field.

Experience with machine learning models and Artificial Intelligence (AI) techniques.

Ability to work with large datasets and draw conclusions from data and manage multiple projects simultaneously and deliver results in a changing environment.

Proficiency in statistical analysis, data intuition, and data management.

Excellent project management skills.

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

The Global Product Solution, YouTube plus Creative Research team works at the intersection of data, creativity, and advertising. Our mission is to enable advertisers to grow the variety and quality of their ads, increasing their effectiveness on our platforms. We achieve this by augmenting their creative process with solutions developed by leveraging 1P and 3P approaches. Utilizing statistical models, advanced data science and analytical techniques, and AI tools, we develop insights that inform business decisions and provide clear creative guidance. Our team is responsible for foundational research and best practices, such as YouTube's ABCDs of creative effectiveness, which help our partners succeed and grow on the platform.

As a Business Data Scientist you will be instrumental in developing the insights that shape how advertisers build their brands on our platform. You will deliver key components of data science projects, from improving data pipelines and developing evaluation metrics to building statistical models. You will work directly with clients and internal partners to understand their business requirements and deliver impactful results. In this role, you will collaborate closely with product and engineering teams to analyze and enhance the customer and user experience.

The US base salary range for this full-time position is $141,000-$202,000 + 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:

Develop metrics to track and evaluate solution deployment across teams.

Create dashboards and tools to automate processes, generate reports, and guide product decisions.

Curate and validate data to ensure quality standards are met.

Collaborate with stakeholders to understand the domain, business goals, and data infrastructure @context.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Google

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