About this role
What You’ll Do
- Partner with cross-functional teams to define high-impact product questions, success metrics, and decision frameworks.
- Analyze user behavior, creator activity, content ecosystems, retention, growth, monetization, and social dynamics to identify opportunities and risks.
- Design and analyze experiments, including A/B tests and other causal measurement approaches, to evaluate product launches, campaigns, and strategic initiatives.
- Define and improve core product metrics, dashboards, diagnostic views, and recurring reporting that help teams understand what is changing and why.
- Build durable analytical assets such as reusable notebooks, data marts, metric definitions, self-serve dashboards, and analysis templates.
- Use AI-assisted and agentic workflows to accelerate analysis, automate repetitive investigation, improve documentation, and build lightweight internal tools for common analytical questions.
- Collaborate with Data Engineering and product teams to improve data quality, instrumentation, modeling, and source-of-truth definitions.
- Communicate findings clearly to technical and non-technical audiences, including senior stakeholders, and influence product decisions through evidence and judgment.
What We’re Looking For
- 5+ years of experience in data science, product analytics, data analytics, quantitative analysis, or a related analytical role.
- Expert SQL skills and strong proficiency with Python or R for analysis, experimentation, modeling, automation, and reproducible workflows.
- Strong product sense, with experience translating ambiguous product or business problems into structured analyses, metrics, experiments, and recommendations.
- Experience designing, analyzing, and interpreting experiments, including A/B tests, guardrail metrics, and common statistical pitfalls.
- Experience building dashboards, reporting systems, reusable analyses, or data products that help stakeholders self-serve and make better decisions.
- Familiarity with AI-assisted analytical workflows, such as using LLMs or agents for code generation, exploratory analysis, documentation, QA, summarization, or workflow automation.
- Strong judgment around data quality, statistical validity, reproducibility, privacy, and the limitations of AI-generated analysis.
- Excellent communication and stakeholder management skills, including the ability to explain complex findings clearly and influence senior audiences.
- Bachelor’s or Master’s degree in a technical, quantitative, or data-related field, or equivalent practical experience.
Bonus Points
- Experience at a social, gaming, creator economy, marketplace, consumer subscription, or UGC platform company.
- Experience with social graphs, creator ecosystems, virtual economies, recommendations, lifecycle analytics, retention, churn, pricing, trust & safety, or community health metrics.
- Experience building AI-powered internal tools, analytical agents, natural-language data interfaces, automated reporting, or self-service insight systems.
- Experience with tools such as dbt, Snowflake, BigQuery, Tableau, Amplitude, Hex, Mode, Jupyter, Streamlit, Airflow, Dagster, or similar platforms.
- Experience mentoring other data scientists, analysts, or cross-functional partners.
Benefits
- Work from anywhere! VRChat is a 100% remote company
- Health Benefits
- 401K for US & RRSP for Canadian Employees
- Stock Options
- Generous paid holiday schedule
- Unlimited/Flexible vacation time
- Paid parental leave benefits