Staff Data Scientist: Causal Inference & Experiments

Hitmarker | Gaming Jobs; San Francisco (CA); Presencial; USD 279.000 - 310.000; Jornada completa

Descripción de la vacante

Discord is seeking a Staff Data Scientist to lead the Experimentation Platform, ensuring rigorous statistical methods and high-quality causal inference across teams.

You will guide the development, education, and adoption of experimentation practices for 50+ Data Scientists, collaborating with engineering and product to scale reliable, data-driven decisions in the San Francisco Bay Area.

Formación

• PhD in a quantitative field or equivalent practical experience.
• 4+ years designing, implementing, and analyzing experiments or causal inference projects.
• Ability to balance velocity and reliability across product launches.
• Strong ability to communicate complex statistics to varied audiences.
• Experience delivering training content on experimentation or causal inference.

Responsabilidades

• Lead the vision and roadmap for the Experimentation Platform with engineering, product, and data science partners.
• Provide statistical expertise ensuring sound experimental methodologies and causal inference.
• Collaborate to improve reliability, scalability, and adoption of experimentation across Discord.
• Lead initiatives to educate cross-functional teams through workshops and materials on experimental design and inference.
• Empower Discord's Data Science team to adopt rigorous causal inference methods.
• Lead original causal inference research on high-priority Discord questions with the DS team.
• Engage directly with experimentation customers to enable fast, data-driven decisions.

Conocimientos

Python

SQL

R

Educación

PhD in a quantitative field (Statistics, Economics, Political Science, Psychology) or equivalent practical experience

Descripción del empleo

Discord is seeking a Staff Data Scientist to lead the Experimentation Platform, ensuring rigorous statistical methods and high-quality causal inference across teams.

You will guide the development, education, and adoption of experimentation practices for 50+ Data Scientists, collaborating with engineering and product to scale reliable, data-driven decisions in the San Francisco Bay Area.