Research Data Scientist, Brand Advertising, YouTube Ads

Research Data Scientist - Brand Advertising, YouTube Ads Google Careers

Job Details

• Location: Mountain View, CA, USA
• Experience Level: Mid
• Job ID: Research Data Scientist Brand Advertising YouTube Ads

About the Role Drive progress, solve problems, and mentor more junior team members with deeper expertise and applied knowledge within the relevant area.

Minimum Qualifications

• Masters 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 an 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
• Impact measurement

You will grow in an environment and 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).

Compensation

• The US base salary range for this full-time position is $147,000 - $211,000 (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.
• Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits.

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).
• Separately format, re-structure, or validate data to ensure quality and review the dataset to ensure it is ready for analysis.

Additional Information

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