Funxyz7mo ago

Data Scientist

New YorkFull-timemid

Data ScienceData ScientistData & AI

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Quick Summary

Overview

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,

Technical Tools

Data ScienceData ScientistData & AI

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.

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.

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

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