Remote Jobs

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Data Scientist

Gauntlet

Location
United States of America
Posted
Salary Range
125k - 190k USD

Join Gauntlet as a Data Scientist to optimize DeFi protocols, conduct cutting-edge research, and manage client engagements while enjoying remote flexibility and attractive benefits.

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Posted

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Customer Care Executive (Cebu, Philippines)

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Location
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Posted

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reserv

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Media Search Analyst - English (AU) | Remote

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Location
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Posted

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Senior Tax Analyst – US & India Taxation

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Location
India
Posted

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Staff Community Partnership Manager

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Location
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Posted
Salary Range
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Senior Community Engineer

Vercel

Location
United States of America
Posted
Salary Range
120k - 180k USD

Senior Community Engineer at Vercel: build relationships with customers, provide technical support, and foster best practice knowledge sharing in a dynamic community.

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Community Recruitment Manager

Welocalize

Location
Argentina
Posted

Join Welo Data as Community Recruitment Manager and drive talent acquisition for AI and data services roles with a focus on diversity and quality.

Gauntlet logo

Data Scientist

Gauntlet

Salary Range

125k - 190k USD / YEAR

Job Summary

Gauntlet is seeking a Data Scientist to enhance DeFi protocols through research and analysis. The role involves collaborating with leading DeFi projects, conducting in-depth research, managing client relationships, and developing data-driven insights. Key qualifications include experience with SQL, Python, or R, strong communication skills, and a track record of deriving insights from complex datasets. Gauntlet offers remote work options, comprehensive benefits including health insurance, WFH stipends, and opportunities for incentive compensation.

Skills

PythonSQLR

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. As of September 2024, Gauntlet manages risk and incentives covering over $46 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.

Gauntlet’s mission is to drive adoption and understanding in the financial systems of the future. Building with decentralized systems creates novel challenges for mechanism designers, smart contract developers, and end-users of financial products, which are not seen in traditional software development and investing contexts. Gauntlet is dedicated to enhancing our industry’s understanding of this new domain, and revealing how to safely navigate the true bleeding edge of 21st century financial innovation.

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!

  • Regular in-person company retreats and cross-country 'office visit' perk

  • 100% paid medical, dental and vision premiums for employees

  • Laptop, monitor, keyboard and mouse setup provided

  • $1,000 WFH stipend

  • Monthly reimbursement for home internet, phone, and cellular data

  • Unlimited vacation

  • 100% paid parental leave of 12 weeks

  • Fertility benefits

  • Opportunity for incentive compensation

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 $135,000 - $180,000 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.  

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