Senior Data Science Manager, Developer Platform

About This RoleAI processing…

Key Responsibilities

• 1
  Manage, mentor, and develop a mission-driven team of Data Scientists embedded across the Developer Platform's core areas: identity, signals, and developer tools.
• 2
  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.
• 3
  Strengthen the developer side of the value equation by shaping developer-facing data products, including metric definitions, benchmarking methodologies, and insight quality.
• 4
  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.
• 5
  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.
• 6
  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.
• 7
  Partner with Data Engineering, Product, and Legal on data governance: ensure platform signals are documented, discoverable, and governed well across Discord.
• 8
  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..

Requirements

• 8+ years of experience in applied data science and advanced analytics, ideally including both consumer product and B2B or platform contexts.
• 3+ years managing and developing teams of Data Scientists, with a track record of growing ICs and raising the team's technical bar.
• Strong expertise in experimentation and causal inference, including quasi-experimental methods (propensity matching, synthetic controls, diff-in-diff) for settings where randomized experiments aren't feasible.
• Experience designing novel, interpretable metrics for a new or fast-evolving product area, and building the measurement systems around them.
• Proficiency in SQL and at least one data programming language (Python or R).
• Clear communication and influence. You can translate complex technical work into crisp narratives for executives, engineers, and external partners, and use data to shape strategy and roadmaps alongside Product and Engineering leadership.
• Experience with gaming, game platforms, or developer-facing (B2B2C) products, especially working directly with external partners' data or analytics teams.
• Experience building or shaping customer-facing data products such as analytics dashboards, benchmarking tools, or measurement offerings.
• Familiarity with advertising signal ecosystems (event pipelines, identity resolution, targeting and measurement, lookalike modeling) and with ML applications for signal enrichment, forecasting, or personalization.
• Experience with cloud data platforms like BigQuery, very large datasets, and modern BI tools (e.g., Hex, Mode, Looker, Tableau).
• Understanding of data governance, privacy, and responsible data use, particularly for signals shared across product and revenue systems.
• Interest in Discord, gaming, and the communities we serve.

Perks & Benefits