# Staff Data Scientist, Causal Inference & Experimentation

**Company:** [Discord](https://hotfix.jobs/companies/discord)
**Location:** Unspecified
**Role:** Data Science
**Salary:** $279k – $310k/yr
**Experience:** 7+ years
**Skills:** Causal Inference, Experimental Design, Experimentation Platforms, Statistics, Python, SQL, R, Ai/Llm Tools, Statistical Analysis, Data Science
**Posted:** 2026-08-17

> Leads the vision, statistical methodology, research, and education strategy for Discord’s experimentation platform. The role requires a quantitative PhD or equivalent experience, 4+ years in experimentation or causal inference, and proficiency with statistical programming languages.

## Job Description

## Responsibilities

- Formulate the vision and set the roadmap for the Experimentation Platform in partnership with engineering, product, and data science stakeholders.
- Provide statistical expertise to ensure experimentation methodologies and frameworks are sound and aligned with best practices in causal inference and experimental design.
- Partner with engineering and product to improve the reliability, scalability, and adoption of experimentation, including modern AI/LLM tooling where it can accelerate rigor and speed.
- Lead initiatives to educate and train cross-functional teams through workshops, training sessions, and educational materials on experimentation design, statistical methodology, and causal inference.
- Empower the Data Science team to adopt more rigorous causal inference methods.
- Lead and conduct original causal inference research on high-priority questions in partnership with the wider Data Science team.
- Engage directly with experimentation customers, including data scientists, product managers, and engineers, to ensure the platform enables fast, reliable, data-driven decisions.

## Requirements

- Proven experience leading experimentation platform work, including designing and validating statistical methodologies for accurate and reliable experimental results.
- PhD in a quantitative field such as Statistics, Economics, Political Science, or Psychology, or equivalent practical experience.
- 4+ years designing, implementing, and analyzing experiments or causal inference projects.
- Ability to evaluate and recommend statistical approaches that balance velocity and reliability across product launches.
- Strong communication and education 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, and/or other statistical programming languages.

## Nice-to-haves

- Interest in literature reviews and translating scientific best practices across the company.
- Experience applying causal inference methods that translated into business decisions and outcomes.
- Experience autonomously leading cross-functional projects and influencing partners.
- Comfort using AI/LLM tools to accelerate causal inference workflows, automate repetitive analysis, or scale experimentation education content.
- Passion for Discord or gaming.
- Causal inference-related publications.

## Compensation and Benefits

- US base salary range: **$279,000–$310,000**, plus equity and benefits.
- Relocation assistance may be available.

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