Data Scientist III, Research, Brand Advertising, YouTube Ads

Google

Mountain View, CA

Full Time

Mid Level

141k-202k

6 days ago

Job Description

About the Role

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 involved in tasks such as aiming relevance, creative recommendation, bidding optimization, and impact measurement. You will grow in a dynamic environment, proactively identify opportunities to enhance the 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 and Project Managers.

Key Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
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.
Design and evaluate models to 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).
Separate, format, re-structure, or validate data to ensure quality, and review datasets to ensure they are ready for analysis.

Requirements

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, or a PhD degree.
3 years of work experience with Online Marketplace Design, Adtech, and Causal Inference.

Nice to Have

Master's or 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.

Benefits & Perks

US base salary range for this full-time position is $141,000-$202,000 plus bonus, equity, and benefits.
Salary ranges are determined by role, level, and location, with individual pay influenced by work location, skills, experience, and education.
Additional benefits include bonus, equity, and other perks as detailed by the company.

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