Google Inc.
Senior Business Data Scientist, YouTube Marketing
Google Inc., Chicago, Illinois, United States, 60290
Senior Business Data Scientist, YouTube Marketing
Location options:
San Bruno, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA .
Qualifications
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Preferred Qualifications 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
About the job 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. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems – from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can – changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. YouTube (YT) Marketing Data Science, Infra and Analytics (DSIA) influences and informs YouTube’s marketing and products teams. We work on projects that drive a go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed.
The US base salary range for this full-time position is $166,000-$244,000 + 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.
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.
Equal Opportunity Employer 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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
English proficiency is required 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.
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San Bruno, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA .
Qualifications
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Preferred Qualifications 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
About the job 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. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems – from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can – changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. YouTube (YT) Marketing Data Science, Infra and Analytics (DSIA) influences and informs YouTube’s marketing and products teams. We work on projects that drive a go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed.
The US base salary range for this full-time position is $166,000-$244,000 + 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.
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.
Equal Opportunity Employer 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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
English proficiency is required 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.
#J-18808-Ljbffr