Data Scientist II

You Will:
Tackle ambiguous, high-impact problems by defining analytical approaches grounded in statistics, computer science, and deep domain expertise—driving clarity, innovation, and durable solutions at scale.
Lead efforts to improve data governance and data quality, ensuring the right structures, documentation, and controls are in place to support safety-critical decision-making.
Design and implement self-service data tools, pipelines, and frameworks that empower cross-functional teams to access and use high-quality data independently.
Respond quickly and thoughtfully to urgent safety incidents, providing analytical clarity and decision support in high-stakes, time-sensitive situations.
Collaborate with product, engineering, and operations teams to design durable systems that support proactive safety efforts and reduce reliance on manual interventions.
Own the development and delivery of transparency reporting, including defining meaningful metrics, shaping external narratives, and advising internal stakeholders.
Become a key thought partner in shaping safety product experiences, providing data-backed insights to support more secure and engaging interactions across the platform.
Foster a culture of analytical rigor, clear communication, and shared accountability for impact across cross-functional teams.
You Have:
BA/BS in Operations Research, Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience
5+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment
5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Expert SQL skills and proficiency in Python/R
Experience using data to create insight, drive business decisions and influence leadership
Bonus Points
MS/MA or higher in Operations Research, Analytics, Data Science, Computer Science, Mathematics, or a related technical field
Experience in a data science team working on Trust & Safety, analytics, and insights
Experience working with operations data and developing automation solutions to improve operational efficiency
Experience working with software development and operational event data
Familiarity with Twitch, either as a viewer or creator (or both!)