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Data Scientist for Blockchain

2 months ago


New York, New York, United States TBWA\Chiat\Day Full time
Quantitative Analyst

Monad Labs is a team of systems engineers and community builders on a mission to help crypto transform the world. We're building Monad, a performant and parallel EVM Layer-1 blockchain.

About the Role

We're seeking an exceptional quant to work on data science and machine learning problems in the blockchain space. The ideal candidate has a strong background in predictive modeling and has excelled in environments where analytics had a direct impact on the bottom line.

Key Responsibilities
  • Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior.
  • Implement production-grade solutions and take end-to-end ownership of production prediction pipelines.
Requirements
  • At least 3 years of experience building predictive models, preferably at a high-frequency trading firm.
  • Excellent knowledge of predictive modeling techniques, including linear regression, decision trees, and neural nets.
  • Proficiency in numpy and pandas.
  • Ability to devise and prototype a variety of approaches to solve complex problems.
What We Offer
  • A competitive salary and total compensation package.
  • A flat, results-driven organization where you'll have the opportunity to shape the culture as an early employee.
  • A chance to work on extremely challenging problems with massive impact.
  • A comprehensive benefits package, including medical, dental, and vision insurance, unlimited paid time off, and a monthly mental health and fitness stipend.
Company Culture

Monad Labs is a small, exceptional team that values creativity, self-motivation, and independence. We're a results-driven organization that's passionate about building a better future for the blockchain industry.