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Mid LevelFull-timePythonData ScienceGitData
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join our Ads organization at Discord. You'll be responsible for building the reporting infrastructure that powers insights across our entire ads organization, enabling stakeholders to make data-driven decisions with confidence and speed.
Key Responsibilities
- →Build and scale comprehensive campaign performance reporting that enables advertisers and internal teams to track ROI, attribution, and key performance metrics
- →Design executive dashboards that provide clear visibility into marketplace health, inventory utilization, and fill rate trends
- →Partner with Data Engineering to define new metrics, ensure data quality, and develop robust pipelines that support reporting at scale
- →Build automated monitoring and alerting systems that catch performance issues and campaign pacing anomalies
- →Empower Sales, Account Management, and Product teams by creating self-serve data assets in BigQuery and Looker
- →Develop comprehensive documentation and training materials that enable analytics self-service across 100+ internal stakeholders
- →Contribute to weekly business and metric reviews with clear visualizations of performance trends, anomalies, and actionable insights
Requirements
- ✓3+ years of data science analytics experience in ads tech, digital marketing analytics, or business intelligence
- ✓Excellent SQL skills with experience writing complex queries against large-scale datasets
- ✓3+ years building production dashboards in Looker, Tableau, or similar BI tools
- ✓Deep familiarity with campaign reporting metrics: CPM, CTR, conversion rates, attribution windows, and ROAS
- ✓Understanding of ads delivery fundamentals: impression tracking, fill rates, inventory management, and pacing algorithms
- ✓Strong attention to detail with ability to QA your own work and identify data anomalies
- ✓Clear communication skills for documenting metric definitions, training users, and translating business needs into reporting solutions
- ✓Proven ability to manage multiple priorities while maintaining consistent delivery timelines
- ✓Collaborative mindset with track record of supporting cross-functional teams effectively
- ✓Proficiency in Excel/Sheets for ad-hoc analysis and rapid prototyping
