Lead Data Scientist, Causal Inference & Experiments

Discord Inc.; San Francisco (CA); On-site; USD 279,000 - 310,000; Full time

Job summary

Discord is seeking a Staff Data Scientist for the Experimentation Platform to ensure rigorous causal inference and sound experimental design across hundreds of trials. You will lead the vision, roadmap, and cross-functional collaboration with engineering, product, and data science teams.

You will mentor a 50+ person data science group, conduct original causal inference research, and train teams to make fast, data-driven decisions for our 90M daily users.

Qualifications

• PhD in statistics, economics, political science, psychology, or related field, or equivalent practical experience.
• 4+ years designing, implementing, and analyzing experiments or causal inference projects.
• Ability to balance velocity and reliability in experimental design.
• Strong communication and training skills for cross-functional teams.
• Experience developing training content on experimentation or causal inference.

Responsibilities

• Define vision and roadmap for the Experimentation Platform with stakeholders.
• Provide statistical expertise and ensure sound methodologies in causal inference and experimental design.
• Collaborate with engineering and product to improve adoption, reliability, and scalability of experimentation.
• Lead workshops and training to educate cross-functional teams on experimentation design and statistics.
• Empower the Data Science team to adopt rigorous causal inference methods.
• Lead original causal inference research on high-priority Discord questions.
• Engage with experimentation customers to enable fast, data-driven decisions.

Skills

Python

SQL

R

Causal inference

Experiment design

Data literacy

Education

PhD or equivalent practical experience

Job description

Discord is seeking a Staff Data Scientist for the Experimentation Platform to ensure rigorous causal inference and sound experimental design across hundreds of trials. You will lead the vision, roadmap, and cross-functional collaboration with engineering, product, and data science teams.

You will mentor a 50+ person data science group, conduct original causal inference research, and train teams to make fast, data-driven decisions for our 90M daily users.