Data Scientist, Marketing, Measurement Operations

Job Description

The YouTube Measurement Operations and Analytics team is responsible for ensuring that YouTube is represented fairly in third-party reporting tools, the internal data feeding those tools is accurate and consistent, and supporting business intelligence initiatives ranging from YouTube TV to YouTube Premium. We provide partner technical support, analytical services, and thought leadership to several initiatives shaping the long-term direction of YouTube.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

Resonsibilities:
• Provide in-depth analytical support for external audience measurement partners.
• Support internal partners for a wide range of data science initiatives by providing data analysis and modeling capabilities.
• Identify, drive, and optimize new data science opportunities within YouTube's operations organization and explain data-driven approaches.
• Implement data pipelines, statistical, and/or machine learning modeling solutions in Python/R/SQL.
• Convey analytical findings via verbal and written communications as well as data visualization for cross-functional/leadership audiences.

Qualifications:

Minimum qualifications:
• Bachelor's degree in a quantitative discipline or equivalent practical experience.
• 2 years of experience applying data science to business questions.
• 2 years of experience working with SQL and one or more of the following: Python, R, and C++.
• 2 years of work experience in a client-facing role.

Preferred qualifications:
• Master's degree in a quantitative discipline such as Statistics, Engineering, or Sciences.
• 2 years of experience working with one or more of the following: Statistical methodology, machine learning algorithms, data visualization.
• Ability to craft engaging and compelling narratives in verbal and written communications for customers (including executive stakeholders) reflecting a nuanced understanding of diverse audiences.
• Advanced root cause analysis, statistical, time-series and predictive modeling skills.

Jobcode: Reference SBJ-gm926v-3-148-102-90-42 in your application.