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Senior Music Data Scientist

A global technology company that specializes in internet-related services and products.
$166,000 - $244,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI

Description For Senior Music Data Scientist

Google is seeking a Senior Music Data Scientist to join their YouTube Business Go-To-Market Music & MediaCo Analytics team. This role combines advanced statistical analysis with business impact in the music and media space. The position requires expertise in causal inference, statistical modeling, and forecasting to solve complex business problems related to YouTube's music ecosystem. Working closely with Product and Ads teams, you'll analyze music trends and their business implications. The role offers competitive compensation ($166,000-$244,000 + benefits) and the opportunity to work at Google's offices in either San Bruno or New York. You'll be part of shaping Go-To-Market priorities, enhancing capabilities, and building robust data infrastructure. The ideal candidate combines strong technical skills with excellent communication abilities to translate complex analyses into actionable insights for stakeholders. This role represents a unique opportunity to impact YouTube's music business strategy through data-driven decision making.

Last updated 2 days ago

Responsibilities For Senior Music Data Scientist

  • 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

Requirements For Senior Music Data Scientist

Python
  • 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.)
  • 3 years of relevant work experience in statistical speciality
  • Experience working in the digital Ads business
  • Strong communication and presentation (written and verbal) skills with the ability to tailor presentations to different audiences

Benefits For Senior Music Data Scientist

Medical Insurance
Equity
  • Medical Insurance
  • Equity
  • 401k

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