Data Science Manager, Safety

As a manager on the Safety Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games, while ensuring a safe environment that minimally disrupts positive user experiences. This is a hands-on technical manager role that supervises a smaller, stable team of 6.

What you'll be doing

• Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing right-sized coaching, feedback, and development support.
• Participate in Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy.
• Ensure quality of deliverables across the team through direct review or delegation to senior team members, maintaining and improving existing processes.
• Up-level the team’s ability to have more strategic impact by improving processes, stakeholder management, and driving ruthless prioritization.
• Develop your own strategic point of view of how Safety can be improved at Discord and drive change via thought leadership and/or deliverables from your team.

What you should have

• Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation, scaled abuse detection (spam/scams), and/or teen safety initiatives.
• 2+ years directly managing teams of 3+ individuals with demonstrated ability to build and maintain high-performing DS teams.
• 5+ years in data science or analytics as an IC with proficiency in SQL and R or Python, plus willingness to contribute technically when needed.
• Expertise in product analytics, experimentation, A/B testing, and product strategy.
• Excellent communication and proven ability to translate complex technical findings into clear insights for stakeholders across all technical levels.
• Experience scaling and automating self-service analytics through tools like Tableau, Looker, or PowerBI.
• Experience or strong perspective in safety or risk domains with ability to apply data science to these business areas.
• Strong management philosophy aligned with building autonomous, accountable teams while driving business impact.
• Collaborative, low‑ego, and user‑obsessed. Bias to action and learning.

Bonus Points

• Experience collaborating with compliance, legal, or litigation cross-functional teams.
• Experience with mature data platforms and engineering stacks including DBT, Dagster, or Airflow.
• Experience applying causal inference or ML to guide product decisions at scale.
• Passion for Discord, gaming, and/or online communities.