Senior Music Data Scientist
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of work experience in statistical speciality (causal inference, econometrics, generalized linear models, experiment design, bayesian statistics, advanced forecasting, machine learning, etc.).
Preferred qualifications:
- 3 years of relevant work experience in statistical speciality (causal inference, econometrics, generalized linear models, experiment design, bayesian statistics, advanced forecasting, machine learning, etc.).
- Experience working in the digital Ads business.
- Strong communication and presentation (written and verbal) skills with the ability to tailor presentations to different audiences.
About the job
The YouTube Business Go-To-Market team is responsible for driving all Go-To-Market functions for the YouTube Business Organization, including strategy and business operations, analytics and data science, partnership enablement, and product activation. The team shapes Go-To-Market priorities to accelerate growth and resource the business accordingly, enhancing skills and capabilities to support execution of business priorities, driving efficiency across business operations, and building excellent go-to-market infrastructure (e.g., data, reports, dashboards).
As a Senior Music Data Scientist in YouTube Business Go-To-Market Music & MediaCo Analytics team (M&M) you will work closely with data scientists and StratOps across YouTube Product and Ads to apply an analytical lens to solving Music business problems. You will need to leverage techniques from causal inference, advanced statistical modeling, and/or forecasting. It will be your responsibility to determine the best approach for solving problems, and communicate clearly with decision-makers who may or may not have a strong technical background.
We use a large set of tools from experimental to observational techniques, touching on a broad range of problems from different functional and product areas.
Responsibilities
- Collaborate with analysts and data scientists across the YouTube Product and Ads business to rationalize Music trends across all of YouTube and surface the impact to the Music business.
- Design and lead causal studies to answer critical business questions related to Music Earnings trends.
- Present and communicate actionable insights and recommendations to executives, leaders, and cross-functional partners.
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.