
Senior Research Data Scientist, YouTube Ads
Mountain View, CAJob$174–252K/yrSeen 1w agoSeen in employer's feed 4 days ago
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Job overview
The Senior Research Data Scientist will work on YouTube’s optimization team, helping deliver performance for advertisers by translating business goals into real-time ad decisions. The role develops large-scale optimization systems using mathematical and statistical modeling, auction theory, risk management, and machine learning. It also partners with stakeholders to define questions and models, evaluates data infrastructure, and prepares datasets for analysis.
Skills & qualifications
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Full job description
Senior Research Data Scientist, YouTube Ads
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corporate_fare YouTube place Mountain View, CA, USA
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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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XIn most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
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Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
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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
As a part of the YouTube optimization team, you will focus on delivering the best performances to the advertisers advertising on YouTube. In this role, you will work with advertisers who each have a business goal to achieve, such as getting the most conversions within their budget, the most clicks under a cost-per-click limit, building awareness of their brand, or many other more advanced settings. You will be a part of the team responsible for the backend systems that power all these optimizations.
In this role, you will manage advertisers’ spend and translate their business goals into real-time decision making on which ads to show, and to achieve this goal, you will develop large-scale optimization systems by utilizing a variety of different tools such as mathematical and statistical modeling, auction theory, risk management, and machine learning (deep networks, Bayesian, etc.).
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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Partner with stakeholders across cross-projects and team settings to identify and clarify business or product questions to answer, providing feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
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Leverage custom data infrastructure or existing data models as appropriate, using specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent.
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Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
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Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python), independently formatting, re-structuring or validating data to ensure quality, and review the dataset to ensure it is ready for analysis.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.
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/OFCCP_EEO_Post.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.
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