Business Data Scientist, Trust and Safety, YouTube

Share Business Data Scientist, Trust and Safety, You Tube

You Tube San Bruno, CA, USA ;
Mountain View, CA, USA

X 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
.

• 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.

• 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.

At You Tube, 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, You Tube’s Trust and Safety team is dedicated to making You Tube 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 front lines of enhancing the You Tube 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 You Tube’s mission to give everyone a voice, show them the world, and build a community. Your role will be critical to You Tube 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

• Develop, build, and measure performance on You Tube-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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin,…