Data Scientist - Gauntlet
At a glance
Mid-level Data Science role at deCircle. New York · full-time · no salary stated · we estimate $137,581–$208,900.
deCircle has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Research ways to improve DeFi protocol safety and efficiency through mechanism design, data analysis and parameter tuning
- Lead client projects from defining the work through relationship management and delivery of research
- Write research for public audiences and meet client research needs
- Build clear, visually compelling dashboards for internal and external users
What you bring
- At least four years of professional experience
- You can draw meaningful findings from complex datasets and explain them clearly to clients
- You have used query or scripting languages such as SQL or Python, or statistical software such as R
- You can work independently toward goals that are not fully defined
- You have experience with pricing models, financial products or asset classes
Who this fits
This role suits a data scientist who can combine quantitative research with client ownership and clear communication. The position is hybrid in New York.
From the employer
Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City.
In order to grow our impact in the DeFi space we are looking to hire experienced Data Scientists to help new and established protocols better understand the systems they’ve built. This role will require establishing a strong ability to analyze and interpret data; as well as the ability to collaborate with and manage external clients. You will be working directly with the premier and innovative DeFi protocols and developing expert-level knowledge and experience of the mechanisms that underpin the DeFi industry.
Responsabilities
Perform in depth novel research into how to make premier DeFi protocols safer and more efficient through mechanism design, data analysis, and dynamic parameter optimization.
Take ownership of client engagements, scoping out work, managing client relationships, and delivering value to clients through your research and work.
Draft and write engaging research for public consumption both to grow Gauntlet’s Brand as well as to satisfy client requirements
Build and deploy easy-to-understand and visually compelling dashboards for internal and external consumption
4+ years of professional experience
Extremely clear and effective communication and client management skills
Proven track record of drawing deep insights from complex datasets
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Ability to work independently working towards abstract goals
Experience working with pricing models, financial products and/or different asset classes
Bonus points
Experience working in the crypto industry is a big plus.
Enthusiasm for the space, especially DeFi, is very much desired
Experience with derivatives style products
Experience managing external client relationships
Published or presented research in the space
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