VRChat

VRChat

VRChat provides a platform that enables users to create and explore immersive virtual reality experiences, allowing for social interaction and community-driven content creation through its Unity SDK.

Internet Software & Services
51-250
Founded 2014
$95M raised

Description

  • 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 launches, campaigns, and strategic initiatives.
  • Define and improve core product metrics, dashboards, diagnostic views, and recurring reporting that explain what is changing and why.
  • Build reusable analytical assets such as 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.
  • 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.

Requirements

  • 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.
  • Preferred experience at a social, gaming, creator economy, marketplace, consumer subscription, or UGC platform company.
  • Preferred experience with social graphs, creator ecosystems, virtual economies, recommendations, lifecycle analytics, retention, churn, pricing, trust & safety, or community health metrics.
  • Preferred experience building AI-powered internal tools, analytical agents, natural-language data interfaces, automated reporting, or self-service insight systems.
  • Preferred experience with tools such as dbt, Snowflake, BigQuery, Tableau, Amplitude, Hex, Mode, Jupyter, Streamlit, Airflow, or Dagster.
  • Preferred experience mentoring other data scientists, analysts, or cross-functional partners.

Benefits

  • Work from anywhere with a 100% remote company.
  • Health benefits.
  • 401(k) for US employees and RRSP for Canadian employees.
  • Stock options.
  • Generous paid holiday schedule.
  • Unlimited or flexible vacation time.
  • Paid parental leave benefits.

Interested in this position?

Apply directly on the company website

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