Топовая роль уровня Staff в Discord с очень сильным окладом и четким фокусом на Causal Inference для огромной аудитории.
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Высокая зарплатаПередовой стекТоп-продуктовая компанияПонятный скоупОгромный масштаб
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist, Causal Inference & Experimentation (Statistics/AI): Building and evolving Discord's experimentation platform with an accent on causal inference, experimental design, and rigorous statistical methodology. Focus on leading causal inference research, improving experimentation reliability and scalability, and educating cross-functional teams on data-driven decision-making.
Location: San Francisco Bay Area; candidates must reside in or be willing to relocate to the San Francisco Bay Area
Salary: $279,000–$310,000 annual base salary, plus equity and benefits
Company
Discord is a multiplatform gaming and shared-interest platform that helps people connect around games and enables developers to build and grow their businesses.
What you will do
Define the vision and roadmap for the Experimentation Platform in partnership with engineering, product, and data science stakeholders.
Ensure experimentation methodologies and statistical frameworks follow best practices in causal inference and experimental design.
Improve the reliability, scalability, and adoption of experimentation across Discord, including the use of AI and LLM tooling.
Lead workshops, training sessions, and educational materials on experimentation design, statistical methodology, and causal inference.
Conduct original causal inference research on high-priority product questions and support the Data Science organization in adopting rigorous methods.
Work directly with data scientists, product managers, and engineers to enable fast, reliable, data-driven decisions.
Requirements
Proven experience leading experimentation platform initiatives and validating statistical methodologies.
PhD in a quantitative field or equivalent practical experience, plus 4+ years designing, implementing, and analyzing experiments or causal inference projects.
Ability to evaluate and recommend statistical approaches that balance speed and reliability across product launches.
Strong communication skills, including explaining complex statistical and experimental design concepts to technical and non-technical audiences.
Experience developing and delivering training programs or educational content related to experimentation, causal inference, or statistical analysis.
Proficiency with Python, SQL, R, or other statistical programming languages.
Nice to have
Experience applying causal inference methods to business decisions and outcomes.
Experience leading cross-functional projects and influencing partners.
Familiarity with AI and LLM tools for causal inference workflows and experimentation education.
Causal inference-related publications or experience with literature reviews.
Passion for Discord or gaming.
Culture & Benefits
Opportunity to influence experimentation strategy across a platform with more than 90 million daily active users.
Leadership opportunities within a small, quickly growing team.
Equity and benefits are included in addition to the base salary.
Reasonable accommodations are available during the interview process.
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