Business Data Scientist, YouTube Partner Program

Google • San Bruno, CA

13h • $117,000 - $168,000

About The Position

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. 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 front-lines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. The YouTube Trust and Safety Analytics team mission is to be the most trusted and integral partner to our stakeholders, by embedding our experience into their decisions and defining our brand by the speed and foresight we deliver. The YouTube Partner Program Analytics team operates in a high-stakes environment, providing comprehensive analytics for verticals that rely on tooling. We manage a rigorous cadence of high-visibility executive reporting, where frequent and significant policy changes directly impact north-star metrics and other core operational metrics. As the demand for sophisticated insights continues to accelerate, the YPP Analytics team remains critical in navigating this increasing complexity and driving decision-making across the platform. 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.

Requirements

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• Experience using SQL to extract and manipulate quantitative data.

Nice To Haves

• 2 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 with a programming language commonly used in data analysis, such as Python or R.
• Knowledge of statistical concepts and methods (e.g., descriptive statistics, hypothesis testing, correlation) with excellent communication and presentation skills.
• Understanding of data pipeline concepts and tools with excellent problem-solving skills.
• Familiarity with data visualization tools and techniques (e.g., Tableau, Matplotlib, etc.).

Responsibilities

• Assist in maintaining and updating existing metrics and risk profiling frameworks to support safe feature launches.
• Contribute to building and maintaining models to assess operational capacity on new product launches, performing tasks such as data extraction, cleaning, and model validation.
• Conduct analysis to estimate precision/recall, support A/B testing, and assess user impact of policies using established methodologies, and summarize findings.
• Develop components of automated data pipelines and utilize existing investigation frameworks to help monitor launch safety, detect abuse, and track operations performance.
• Collaborate on data requests and analyses to support broader metrics infrastructure projects.
• Perform investigations into abuse rates and review method effectiveness as directed, contributing to data collection and trend analysis for root cause analyses.
• Track and report on north star metric performance, preparing routine updates for review.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level