Senior Research Data Scientist, Google Display Ads

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google is seeking a Senior Research Data Scientist for Google Display Ads in Mountain View, CA. This role advances backend systems that score, rank, and select ad candidates to improve bidding and prediction at scale.

Responsibilities include building models, leveraging SQL, Python, and R to solve business questions, and collaborating with stakeholders to translate needs into measurable analyses. Equity and benefits accompany a strong compensation package.

Qualifications

• Master's degree in a 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

• Collaborate with stakeholders to identify and clarify business or product questions and translate them into analyses, metrics, or models.
• Design and evaluate models using custom data infrastructure or existing data models to solve defined problems.
• Gather information on goals, priorities, and data infrastructure to guide analysis.
• Own data gathering, extraction, and preparation across sources using SQL, R, Python; ensure data quality and readiness for analysis.

Skills

Python

R

SQL

Education

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

Job description

Senior Research Data Scientist, Google Display Ads

Google

Mountain View, CA, USA

Mid

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

Minimum 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.

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

Google Display Ads (GDA) is a network of advertisers and publishers in which advertisers participate through auctions to win impressions (showing their ad to a user). Each advertiser has a business goal to achieve. That goal could be getting most conversions given their budget, most clicks given a limit on cost-per-click, or many other more advanced settings. Our larger team is responsible for the backend systems that power all these optimizations.

Specifically for our team, we work on GDA Ads retrieval, where the core objective is to efficiently find the ad candidate that can deliver the highest value for a given query, a difficult task since Google has access to millions of ads. We need to build an efficient system to score, rank and select candidates at large scale, and send them to the final auction to get more accurate bidding and prediction.

We provide a framework that dynamically controls the trade-off between revenue and resource usage by automatically adjusting serving parameters on a per-query basis. Our goal is to maximize advertiser value (revenue) subject to constraints on serving resources and latency. You will be working on a system that directly impacts the efficiency and profitability of a large-scale advertising platform.

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

Learn more about benefits at Google.

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

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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.