Data Scientist, Classifiers

Job Description

The YouTube data scientist (YTDS )Responsibility team specializes in measuring and evaluating content quality at scale on YouTube. Our goal is to help the platform grow responsibly by making sure that the engagement and satisfaction objectives of the platform do not come at the expense of content quality.

In this role, you will be providing data science expertise to our team which owns several critical content quality classifiers used across YouTube.You will involve in an effort to make our classifier-based systems more transparent and compliant with upcoming regulations in the European Union. This will involve work on sampling, label quality evaluation, classifier performance measurement.

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:
• • Work with sampling-based methods
• • Work cross-functionally with PMs and Engineers
• • Analyse and evaluate human label quality

Qualifications:

Minimum qualifications:
• Master's degree in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics) related field,or equivalent industry experience.
• Experience with casual inference.
• Experience with statistical analysis.
• Experience with machine learning models.

Preferred qualifications:
• PhD degree in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics) related field.
• 2 years of work experience in data analysis (e.g., as a statistician / data scientist or related role).
• Experience analyzing large data sets and distributed computing using Python and other quantitative and statistical modeling technologies and tools.
• Experience designing, building and evaluating statistical / machine learning models.

Jobcode: Reference SBJ-r1nw9e-13-59-218-147-42 in your application.