Senior Data Scientist

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.

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.

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.

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