Entry Level Data Scientist
DeFiner is a permissionless and configurable decentralized lending protocol with protected privacy. It allows users to lend, borrow, and stake any token. The protocol features a Smart Contract Factory that enables anyone to launch their own lending market on Ethereum and other EVM-compatible blockchains.
Maintainer signals as of 8/11/2026
Funding history
About DeFiner
DeFiner is a decentralized finance (DeFi) protocol that offers a configurable lending market with a lock-up function, known as the HODLer market. It features a Smart Contract Factory that allows anyone to create their own lending market on demand in a permissionless manner. Users can customize various aspects of their market, such as supported assets, maturity dates, and oracles. The protocol is built as a set of smart contracts on Ethereum and other EVM-compatible blockchains, enabling direct interaction for users and applications. Security is a priority, with the protocol having undergone multiple audits. DeFiner offers privacy through encrypted balance transfers with zero-knowledge proof traceability protection. Users can deposit crypto assets to earn interest, borrow against their deposits, create their own lending pools, and stake tokens to lock liquidity.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work closely with engineering and marketing teams to identify and answer product questions that drive business growth. You will design and implement machine learning models to solve diverse business problems and leverage large data sets to uncover new insights. You will collaborate with data analysts, data engineers, and business stakeholders to incorporate their expertise into data science solutions. You will present and defend results to both technical and non-technical leadership and contribute to research through technical papers and presentations.
Requirements
- Proficiency with Jupyter Notebook
- Experience with Python
- Knowledge of SQL
- Familiarity with R (optional)
- Strong mathematics and algorithms background
- Ability to work in a startup environment
- Strong influencing and stakeholder management skills
- High organization and attention to detail
Responsibilities
- Work closely with engineering and marketing teams to identify and answer product questions
- Create machine learning solutions for diverse business problems
- Leverage large data sets to uncover insights
- Collaborate with data analysts, data engineers, and stakeholders to integrate domain expertise
- Present and defend results to technical and non-technical leadership
- Contribute to research through technical papers and presentations
