Business Data Scientist, Connected TV, YouTube Marketing

Google LLC

San Bruno, CA

JOB DETAILS
SKILLS
A/B Testing, Administrative Management, Analysis Skills, Android, Artificial Intelligence (AI), Brand Strategy, Budgeting, Campaigns, Cloud Computing, Communication Skills, Consumer Packaged Goods, Customer Service Management, Data Collection, Data Science, Database Analysis, English Language, Entertainment and Media, Equal Employment Opportunity (EEO), Experiment Design, Facilities Management, Field Sales, Financial Services, Forecasting, Genetics, Japanese Language, Leadership, LifeTime Value (LTV), Marketing, Marketing Communications, Network Operations Center, Presentation/Verbal Skills, Problem Solving Skills, Product Management, Product Support, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Recruiting/Staffing Agency, Regression Testing, Regulatory Requirements, Retail, SQL (Structured Query Language), Sales, Sales Administration, Sales Management, Startup, Statistics, Stock Purchase Plans, Team Player, Technical Consulting, Technical Leadership, Television Promotions, YouTube
LOCATION
San Bruno, CA
POSTED
3 days ago

Business Data Scientist, Connected TV, YouTube Marketing - Google Careers

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Business Data Scientist, Connected TV, YouTube Marketing

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corporate_fareYouTubeplaceNew York, NY, USA; San Bruno, 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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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; San Bruno, CA, USA.

Minimum 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.

  • Experience with statistical methods including experimental design (A/B testing), regression, and classification.

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 with advanced modeling techniques, including marketing mix modeling (MMM), user LTV forecasting, and churn prediction.

  • Experience in subscription-based businesses (SaaS) or mobile growth marketing.

  • Deep expertise in causal inference techniques and a proven track record of applying them to solve business problems.

  • Excellent communication and presentation skills, with a knack for distilling complex topics into simple, powerful messages.

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.

YouTube Marketing Analytics is a 30+ analyst team that influences and informs YouTube's marketing and products teams. We work on projects that are at the heart of go-to-market (GTM) and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed.

As a Business Data Scientist on YouTube Connected TV (CTV) marketing, you will be tasked with understanding the full funnel of subscriber growth and determining how marketing can be the most effective at each stage in driving growth. Measurement will include a mix of understanding brand perception and how marketing shifts perception to experiment design as well as analysis of campaigns, user level offers and partnership opportunities.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Partner with performance marketing teams to design experiments and utilize causal inference and other quasi experiments techniques to measure and optimize budget for acquiring high-value subscribers.
  • Develop sophisticated user segmentation frameworks to tailor marketing communications, offers, and win-back strategies to different user needs.
  • Measure brand love using panel data, understand the causal drivers of brand perception and how marketing influences perception and consideration for YouTube TV and NFLST.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate 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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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