Data Science Web3 Jobs in United States

Data Science Research Intern

Location: Remote

Company: Perena

Job Type: Part-time

About Perena

Perena is the first stablecoin infrastructure project on Solana challenging the definition of money. Perena is building the financial infrastructure of the future—an on-chain, transparent, and programmable alternative to traditional banking. Today’s financial system is fragmented, capital-inefficient, and reliant on legacy infrastructure. Perena addresses these challenges by enabling seamless stablecoin liquidity, digital asset issuance, and real-world asset (RWA) integration, all built on blockchain rails. Perena’s technology allows users and institutions to transact, allocate capital, and manage risk in an open and efficient way. By rethinking how financial markets operate, Perena aims to create a more accessible, resilient, and scalable system for the next generation of digital finance. Perena has launched a multi-token stableswap called Numéraire, and are building a stablecoin launchpad, cross-chain stablecoin infra, and synthetic CDP money. If you're ready to help build the future of money, we’d love to have you on the team.

Role Overview

As a Data Scientist Research Intern at Perena, you will work alongside Perena’s Head of Research to analyze on-chain data, user interactions, and economic models to drive insights that shape product strategy and risk management. You will build predictive models, monitor KPIs, and optimize system design, propelling Perena’s product-market fit and operational efficiency. Your work will provide data-driven guidance on how our stablecoin is used, emitted, and sustained in the market.

Key Responsibilities

Analyze user behavior patterns to understand adoption, retention, and engagement within the Perena ecosystem.

Develop models for on-chain transaction analysis, tracking liquidity flows, network activity, and risk factors.

Build emissions and incentive models to optimize stablecoin supply and sustainability.

Design quantitative frameworks for monitoring system health, capital efficiency, and market dynamics.

Collaborate with engineering, product, and research teams to integrate data insights into decision-making.

Develop machine learning models and statistical methods to improve forecasting and risk assessment.

Optimize algorithmic mechanisms for stablecoin issuance, redemption, and arbitrage.

Monitor and assess network effects, adoption drivers, and capital efficiency of Perena’s products.

Create data pipelines and dashboards to track key on-chain and off-chain metrics.

Ideal Candidate

1-2+ years of experience in data science, machine learning, or quantitative analysis.

Strong proficiency in Python, SQL, and data visualization tools (e.g., Pandas, NumPy, Jupyter, Tableau).

Experience working with blockchain data, smart contracts, and on-chain analytics.

Knowledge of DeFi, stablecoins, and tokenomics is a major plus.

Strong foundation in statistics, econometrics, and modeling financial systems.

Ability to design and implement predictive models and simulations.

Experience with big data tools (e.g., Spark, Snowflake) is a plus.

Familiarity with GraphQL, Dune Analytics, Flipside Crypto, or similar on-chain analytics tools.

Passion for leveraging data-driven insights to improve digital finance and stablecoin adoption.

Currently in a Master’s or PhD in Computer Science, Data Science, Economics, Statistics, Quantitative Finance, Mathematics, or a related field from a top-tier university.

Why Join Perena?

Work on cutting-edge stablecoin and on-chain financial data analysis.

Influence key product and economic design decisions through data-driven insights.

Collaborate with top-tier researchers, engineers, and economists in the crypto space.

Opportunity to shape the future of stablecoins and decentralized finance.

If you are a data-driven problem solver passionate about blockchain analytics, financial modeling, and stablecoin ecosystems, we’d love to hear from you.