Data Scientist - Fun.xyz

De Circle

$100K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years proficiency in Python and SQL
  • 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

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