Strong background in statistical analysis and causal inference
Experience in end-user behavior optimization (A/B testing, conversion rates)
Familiarity with modern data platforms like Redshift or Snowflake
Deep curiosity about crypto, DeFi, and Web3 infrastructure
Responsibilities
Design and build scalable data models to analyze transaction flows and user behavior
Support optimization of data transformations, pipelines, and workflows
Provide insights on business performance directly to CFO
Maintain data quality and observability across analytical systems
Deliver actionable insights in collaboration with engineering and product teams
Run experiments and drive evidence-based product decisions
Translate complex data into clear narratives for diverse stakeholders
Benefits
Flexible work environment
Opportunities for professional growth
Access to cutting-edge blockchain technology
Collaboration with innovative product and engineering teams
Exposure to high-impact projects in a fast-paced industry
Full Job Description
Role Overview
We're looking for a Data Scientist to supercharge our data-driven strategy and ensure we're building the right things at the right time. You'll be embedded in the heart of our product and engineering teams, shaping insights that guide strategy, uncover user behavior, and optimize execution across Fun.xyz.
This role is perfect for someone who thrives in fast-paced, ownership-driven environments, loves solving open-ended problems, and is excited about the potential of blockchain data.
Responsibilities
Design and build scalable data models to analyzetransaction flows and user behavior
Support the optimization of data transformations, pipelines, and workflows
Work directly with the CFO to provide insights on the business' performance
Maintain data quality, observability, and reproducibility across analytical systems
Partner with engineers and product teams to deliver actionable, production-grade insights
Run experiments, apply causal inference, and drive evidence-based product decisions
Translate complex data into clear stories for both technical and non-technical stakeholders
Proficiency in Python and SQL (5+ years)
Strong background in statistical analysis, experimentation, and causal inference
Familiar with analyzing end-user behavior for optimization (A/B testing, conversion rates, etc.)
Skilled in modern data platforms (Redshift, Snowflake, Databricks, etc.) and orchestration/transformation tools (dbt or similar)
Deep curiosity about crypto, DeFi, on-chain data, and Web3 infrastructure
Nice To Have
Experience analyzing large-scale transaction or financial datasets
Hands-on experience with ML/AI libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
Familiarity with market dynamics (spreads, slippage, liquidity, etc.)
A track record of thriving in ownership-heavy, fast-moving environments
A problem-solving approach that blends rigor, creativity, and first-principles thinking
