Business Data Scientist, YouTube Marketing Shopping
Google Inc., New York, NY, United States
Business Data Scientist, YouTube Marketing Shopping
Location options: New York, NY, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Bruno, CA, USA. This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Preferred working location: New York, NY, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Bruno, CA, USA
Qualifications
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
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 relevant PhD degree.
Preferred qualifications
5 years of experience in the consumer tech, media, or entertainment industry.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience in causal inference techniques with a proven track record of applying them to solve business problems.
Experience with advanced modeling techniques, including Marketing Mix Modeling (MMM), user LTV forecasting, and churn prediction and in e-commerce, retail analytics or two-sided marketplaces.
Excellent communication and presentation skills, with a knack for distilling topics into simple, powerful messages.
About the job In this role, you will join the YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) team that influences and informs YouTube’s marketing and product teams. You will work on projects that drive go‑to‑market and brand strategy for YouTube, using data to ensure our marketing efforts are efficiently and effectively deployed. As a Business Data Scientist on YouTube Shopping, you will be instrumental in optimizing marketing campaigns across the entire YouTube Shopping creator and viewer life‑cycle. You will leverage expertise in experimental design, data analysis, and machine learning to drive tangible improvements in creator engagement, viewer awareness, and overall platform efficacy.
The US base salary range for this full‑time position is $138,000–$198,000 plus bonus, equity and benefits. 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. Compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Partner with Growth Marketing and Product teams to analyze and optimize the end‑to‑end shopper journey, from acquiring new shoppers to driving repeat purchases.
Develop user segmentation and propensity models to power personalized marketing campaigns, targeting shoppers with the right product at the right time.
Collaborate with engineering and marketing to determine the signals we need to ensure we are connecting creators and viewers with the right offers at the right time.
Develop and own the LTV models for YouTube shoppers, providing a critical input for long‑term planning and investment.
Design incentive program experiments and optimize life‑cycle communications with incentives.
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.
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 job alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Preferred working location: New York, NY, USA; Chicago, IL, USA; Los Angeles, CA, USA; San Bruno, CA, USA
Qualifications
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
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 relevant PhD degree.
Preferred qualifications
5 years of experience in the consumer tech, media, or entertainment industry.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience in causal inference techniques with a proven track record of applying them to solve business problems.
Experience with advanced modeling techniques, including Marketing Mix Modeling (MMM), user LTV forecasting, and churn prediction and in e-commerce, retail analytics or two-sided marketplaces.
Excellent communication and presentation skills, with a knack for distilling topics into simple, powerful messages.
About the job In this role, you will join the YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) team that influences and informs YouTube’s marketing and product teams. You will work on projects that drive go‑to‑market and brand strategy for YouTube, using data to ensure our marketing efforts are efficiently and effectively deployed. As a Business Data Scientist on YouTube Shopping, you will be instrumental in optimizing marketing campaigns across the entire YouTube Shopping creator and viewer life‑cycle. You will leverage expertise in experimental design, data analysis, and machine learning to drive tangible improvements in creator engagement, viewer awareness, and overall platform efficacy.
The US base salary range for this full‑time position is $138,000–$198,000 plus bonus, equity and benefits. 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. Compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Partner with Growth Marketing and Product teams to analyze and optimize the end‑to‑end shopper journey, from acquiring new shoppers to driving repeat purchases.
Develop user segmentation and propensity models to power personalized marketing campaigns, targeting shoppers with the right product at the right time.
Collaborate with engineering and marketing to determine the signals we need to ensure we are connecting creators and viewers with the right offers at the right time.
Develop and own the LTV models for YouTube shoppers, providing a critical input for long‑term planning and investment.
Design incentive program experiments and optimize life‑cycle communications with incentives.
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.
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 job alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr