Data Scientist, YouTube, ML Classifiers

Google welcomes people with disabilities.Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
  
  

Preferred qualifications:

• PhD degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics or other quantitative social sciences, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering.).
• 4 years of relevant work experience in data analysis or related fields, e.g., as a statistician/data scientist.
• 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.
• Excellent written and verbal communication to convey analyses in an effective manner.
• Excellent problem-solving and investigative skills.
  
  

About the jobAs a Data Scientist at YouTube, you will sit at the intersection of product, engineering, and user experience. You won't just crunch numbers; you will be a key architect of the insights that drive our product roadmap. Your work will ensure that our machine learning models are fair, our features are impactful, and our ecosystem remains healthy for billions of users. The YouTube Data Science (YTDS) CoreX Responsibility team specializes in measuring and improving content quality in YouTube's recommendation systems. Our work is driven by YouTube's Four Rs strategy ( The Four Rs of Responsibility ) and centered around machine learning classifiers and classifier-based systems aimed at protecting users from inappropriate content. We are involved in critical stages of the classifier development process, from the definition of labels (using human or LLM-based ratings) and the measurement of their quality, to the offline evaluation of predictions and the online measurement of system performance.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.

Responsibilities

• Drive the development of in-depth Machine Learning (ML) systems while leading teams through highly ambiguous and technically demanding environments.
• Make a direct, tangible impact on real-world problems. Focus on work at the epicenter of some of the most high-visibility areas in technology (e.g., how to protect users from inappropriate content while respecting their intent.).
• Partner with Product Managers and Engineers to translate vague business questions into investigative frameworks.
• Work with Product Managers (PMs) and engineers who love working with YouTube Data Science.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .