- Company Name
- Discord
- Job Title
- Data Scientist, Analytics - Ads Reporting
- Job Description
-
**Job Title:** Data Scientist, Analytics – Ads Reporting
**Role Summary:**
Drive the design, development, and maintenance of a scalable, accurate reporting ecosystem for Discord’s advertising business. Deliver executive‑level dashboards, campaign performance metrics, and self‑serve analytical assets that enable data‑driven decision‑making across sales, product, and executive teams.
**Expectations:**
- Own end‑to‑end reporting pipeline from data ingestion to visualization.
- Ensure data quality, model accuracy, and metric consistency across all reports.
- Collaborate closely with Data Engineering to develop production‑ready pipelines.
- Provide actionable insights that directly influence advertiser performance and product roadmap.
**Key Responsibilities:**
- Build and scale comprehensive campaign performance reporting (ROI, attribution, ROAS, CPM, CTR, etc.) for advertisers and internal teams.
- Design executive dashboards in Looker that visualize marketplace health, inventory utilization, and fill‑rate trends.
- Partner with Data Engineering to define new metrics, validate data quality, and construct robust, scalable pipelines.
- Implement automated monitoring and alerting for performance anomalies and pacing issues.
- Create self‑serve data assets in BigQuery and Looker for Sales, Account Management, and Product teams.
- Produce documentation, training materials, and run knowledge‑transfer sessions for 100+ stakeholders.
- Contribute to weekly business reviews with clear visualizations of trends, anomalies, and optimization opportunities.
**Required Skills:**
- 3+ years in data science/analytics within ads tech, digital marketing analytics, or business intelligence.
- Advanced SQL: complex queries, performance tuning on large‑scale datasets.
- 3+ years building production dashboards in Looker, Tableau, or equivalent (focus on usability & performance).
- Deep understanding of campaign reporting metrics (CPM, CTR, conversion rates, ROAS, attribution windows).
- Knowledge of ad delivery fundamentals: impression tracking, fill rates, inventory management, pacing algorithms.
- Strong QA mindset; detect and correct data anomalies before stakeholder delivery.
- Excellent communication for documenting metrics, training users, and translating business needs into reporting solutions.
- Proven multi‑tasking and prioritization skills with consistent delivery timelines.
- Collaborative mindset and experience supporting cross‑functional teams.
- Proficiency in Excel/Sheets for ad‑hoc analysis and rapid prototyping.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field (or equivalent work experience).
- No specific certifications required; Python/R experience is a plus.
San francisco bay, United states
On site
Junior
29-01-2026