Senior Music Economics Data Scientist

Job Description

As a Senior Music Economics Data Scientist in YouTube Business Go-To-Market Impact Measurement team, you will work closely with the Music + Premium Product Activation team by applying an analytical lens to solve business problems. You will have 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 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. Effective data scientists on our team keep up with advances in the causal inference literature. When available methodologies are not well suited for the problem you are trying to solve, you will be encouraged to develop new econometric techniques in collaboration with your teammates and work with our summer interns on research projects. We also attend relevant conferences and organize internal events to keep our toolkit updated and educate the broader Google community.
The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.

Please note that the 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.

Resonsibilities:
• 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.

Qualifications:

Minimum 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 (with Python or R), querying databases, or statistical analysis.
• Experience in econometrics, causal inference, and machine learning.

Preferred qualifications:
• PhD in quantitative discipline.
• 3 years of experience in statistical speciality (causal inference, econometrics, generalized linear models, experiment design, bayesian statistics, advanced forecasting, machine learning, etc.).
• Proven track record of research and up-to-date on the latest literature and methodologies.

Jobcode: Reference SBJ-rb030x-3-12-34-178-42 in your application.