Data Scientist
Fun
Data Science
New York, NY, USA
Posted on Apr 24, 2026
At Fun, we’re building the financial infrastructure for internet capital markets.
The systems that power global finance were designed for a different era: slower, fragmented, and constrained by borders. Today, value is digital, global, and moves instantly, but the experience of moving it hasn’t caught up.
Fun offers the highest converting payment solution in the digital asset space – a unified system that enables users to complete any on-chain action using crypto, exchange balances, or fiat from a card or bank account, all in a single, seamless flow.
Our goal is simple: make transacting with any asset feel effortless, anywhere in the world.
The systems that power global finance were designed for a different era: slower, fragmented, and constrained by borders. Today, value is digital, global, and moves instantly, but the experience of moving it hasn’t caught up.
Fun offers the highest converting payment solution in the digital asset space – a unified system that enables users to complete any on-chain action using crypto, exchange balances, or fiat from a card or bank account, all in a single, seamless flow.
Our goal is simple: make transacting with any asset feel effortless, anywhere in the world.
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.
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 analyze transaction 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
Requirements
- 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