
Staff Data Scientist, Strategic Research & Reporting
$248,000 - $279,000 / year
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Job Description
Discord is seeking an experienced and passionate Staff Data Scientist to join our world-class Data Science & Analytics team! In this role, you will play a key part in helping Discord fulfill its mission of creating a sense of belonging in online communities. You'll work closely with the teams that design, build, and support Discord, providing insights that directly influence user growth and enhance the user experience. If you're driven by data, eager to make a meaningful impact, and excited to collaborate with an amazing team, we want to hear from you! If you're passionate about data, impact, and working on an amazing team, read on!
What you'll be doing
- Partner with executive and finance teams to define and govern Discord's most critical business metrics, ensuring consistency, accuracy, and alignment across the company.
- Own the data governance framework for core metrics, collaborating with data engineering and platform teams to implement validation checks, monitoring systems, and quality standards that maintain trust in our data
- Conduct deep-dive analyses on critical business trends and user behaviors, translating complex patterns into clear narratives that help Discord understand how the platform is evolving and where opportunities exist
- Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
What you should have
- 7+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analysis
- 7+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
- 6+ years experience writing robust, efficient and performant SQL
- 4+ years defining and standardizing business-critical metrics, with demonstrated ability to build consensus across high level stakeholders
- 2+ years collaborating with data engineering and other technical teams to implement data quality checks, validation frameworks, and governance standards
- 2+ years of experience in the design, analysis, and interpretation of sound A/B tests in a fast-paced environment at scale
- Experience with technical leadership, being the point person for one or more stakeholder groups
- Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences
- Ability to own complex projects from end-to-end, identifying the need for and coordinating cross-functional partnerships
- Aptitude to proactively identify gaps in data infrastructure, evaluate potential solutions, and coordinate cross-functionally to address issues
- Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus points
- Passion for Discord and/or online communities
- Experience directly supporting executive or finance teams as the owner for business-critical metrics
- Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc.
- Experience with notification system/platform and lifecycle management.
- Experience writing performant code in BigQuery SQL
Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.
The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
