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Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Lead the development of statistical and machine learning models for time-series and geospatial data. Build analytic solutions, datasets, ETL workflows, forecasting and anomaly-detection models, simulations, visualizations, and reports. Evaluate algorithm performance, optimize classifiers, document processes, and collaborate with engineers, analysts, mission partners, and stakeholders to deliver reliable mission-focused software and data capabilities.
Top Skills:
GitHdfsKerasMatplotlibNumpyPandasPostgresPythonPyTorchScikit-LearnScipyTensorFlow
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Develops statistical and machine learning models for kinematic behavior detection using live, historical, time-series, and geospatial data. Responsibilities include data integration, ETL, feature engineering, forecasting, anomaly detection, algorithm evaluation, simulation, visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to mission-focused software applications, APIs, data workflows, code reviews, troubleshooting, and agile development in a remote-first environment.
Top Skills:
ConfluenceGitHdfsJIRAKerasMatplotlibNumpyPandasPostgresPythonPyTorchScikit-LearnScipyTensorFlow
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Lead statistical and machine learning model development for time-series and geospatial data supporting the FALCON mission. Responsibilities include feature engineering, forecasting, anomaly detection, ETL, dataset creation, algorithm evaluation, simulation, data visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to software applications, APIs, data pipelines, code reviews, troubleshooting, and iterative agile development.
Top Skills:
Agile ScrumGitHdfsKanbanKerasMatplotlibNumpyPandasPostgresPythonPyTorchScikit-LearnScipyTensorFlow
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 November 2025, Gauntlet manages over $2B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions — 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.
As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain intelligence. Gauntlet curates strategies across Morpho, Drift, Symbiotic, Aera and more, with >$2B in vault TVL and a growing suite of Prime, Core and Frontier vaults.
Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader’s discipline and a risk manager’s skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults.
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.
Responsibilities
- 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
Qualifications
- 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
Benefits and Perks
- Remote first - work from anywhere in the US & CAN!
- Competitive packages with the added opportunity for incentive-based compensation
- Regular in-person company retreats and cross-country "office visit" perk
- 100% paid medical, dental and vision premiums for employees
- Laptop provided
- $1,000 WFH stipend upon joining
- $100 per month reimbursement for fitness-related expenses
- Monthly reimbursement for home internet, phone, and cellular data
- Unlimited vacation policy
- 100% paid parental leave of 12 weeks
- Fertility benefits
Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.
The national pay range for this role is $150,000 - $205,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
#LI-Remote
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
