The opportunity
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on…
What you'll do
Manage, mentor, and develop a mission-driven team of Data Scientists embedded: across the Developer Platform's core areas: identity, signals, and developer tools.
Own the vision and roadmap for data-driven decision-making across the: Developer Platform org, and shape company strategy on how the platform creates value for both developers and Discord.
Strengthen the developer side of the value equation by shaping: developer-facing data products, including metric definitions, benchmarking methodologies, and insight quality.
Strengthen the Discord side of the value equation by partnering with Ads,: Engagement, and Growth to identify, validate, and productize platform-derived signals, and by measuring their incremental value through experimentation.
Drive platform adoption by partnering with Product, Engineering, and Business: Development to measure integration health, forecast growth, and surface insights that help the org land and deepen integrations with the world's largest game developers.
Serve as a trusted analytical partner to top game developers, designing joint: studies with partner data science teams to uncover business value from the developer tech stack.
What they're looking for
- Partner with Data Engineering, Product, and Legal on data governance: ensure platform signals are documented, discoverable, and governed well across Discord.
- Set clear priorities and nimble operating models, and build a team known for: rigorous methods and decision-ready work. Partner with other Data leaders to shape the direction and culture of Discord's Data organization..
- + years of experience in applied data science and advanced analytics, ideally: including both consumer product and B2B or platform contexts.
- + years managing and developing teams of Data Scientists, with a track record: of growing ICs and raising the team's technical bar.
