Business Data Scientist, Trust and Safety, YouTube

Google; Mountain View (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

YouTube's Trust and Safety team seeks a Business Data Scientist to translate ambiguous safety issues into tractable problems and deliver actionable insights. You will partner across Data Science, Product, Research, and Strategy to scale AI-based systems and measurement frameworks.

You'll work to protect the platform and users globally, developing performance metrics, models, and processes while communicating complex results clearly to stakeholders.

Qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Responsibilities

• Develop, build, and measure performance on YouTube-wide abuse performance metrics and operational metrics (productivity, efficiency, timeliness, etc.), and generate insights to improve the business's ability to decrease the prevalence of violative content on the platform.
• Lead the design, implementation, and scaling of metrics, analysis frameworks, and AI-based systems, creating standardized and defensible solutions applicable across products and violation areas.
• Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly technical results and methods clearly.
• Partner with Data Science, Product, Research, and Strategy teams to prioritize and execute sophisticated quantitative analyses and advanced modeling that deliver actionable insights.
• Analyze processes to identify opportunities for improvement, define requirements, and collaborate cross-functionally and globally to improve processes and tools as AI-Native.

Skills

Analytics

Python

SQL

Statistical analysis

Generative AI

AI pipelines

Project management

Communication

Education

Master's degree in a quantitative discipline

PhD in a quantitative discipline

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA.

Minimum qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Preferred qualifications

• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• Experience architecting scalable enterprise AI solutions and Generative AI pipelines.
• Experience in project management and process optimization with AI or data analytics.
• Familiar with abuse prevention, policy and regulatory systems.
• Proven ability to proactively take ownership of projects by setting and achieving milestones, synthesizing input from many stakeholders, managing multiple projects simultaneously, creating outputs appropriate to the audience(s) and driving final deliverables.
• Excellent written and verbal communication skills.

About The Job

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 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.

Fast-paced, dynamic, and proactive, YouTube's Trust and Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust and Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.

As a Business Data Scientist, you will work with key partners to develop business intuition and frame ambiguous safety issues into tractable problem formulations. With your expertise, you will help deliver on YouTube’s mission to give everyone a voice, show them the world, and build a community. Your role will be critical to YouTube by enabling efficient, high-quality, and precise operations to protect our global platform and users.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• Develop, build, and measure performance on YouTube-wide abuse performance metrics and operational metrics (productivity, efficiency, timeliness, etc.), and generate insights to improve the business's ability to decrease the prevalence of violative content on the platform.
• Lead the design, implementation, and scaling of metrics, analysis frameworks, and AI-based systems, creating standardized and defensible solutions applicable across products and violation areas.
• Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly technical results and methods clearly.
• Partner with Data Science, Product, Research, and Strategy teams to prioritize and execute sophisticated quantitative analyses and advanced modeling that deliver actionable insights.
• Analyze processes to identify opportunities for improvement, define requirements, and collaborate cross-functionally and globally to improve processes and tools as AI-Native.

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 .