At dYdX you’ll have an opportunity to build state-of-the-art decentralized technology that will redefine global financial markets. By joining us at this early stage you will make fundamental decisions that will shape the course of dYdX.

→ Learn more about working at dYdX

About dYdX:

  • We’ve built the world’s leading decentralized exchange for crypto assets
  • dYdX is founded by an ex-Coinbase, ex-Uber engineer, with a Princeton CS background. Our team has previous experience at Google, Bloomberg, Amazon, Bain, NerdWallet, Facebook, Lyft and other top companies
  • We’re a world-class team with top backers and advisors, including Andreessen Horowitz, Polychain Capital, Brian Armstrong, Fred Ehrsam, Naval Ravikant, Elad Gil and more


  • Partner with Product, Research, Engineering and Leadership to inform, influence, support and execute strategy and product decisions
  • Work with large and complex data to solve a wide array of problems using different analytical and statistical approaches
  • Apply technical expertise with data mining, quantitative analysis, and the presentation of data
  • Define, understand and test opportunities to improve the product through learning and recommendations
  • Define team metrics and goals and make them easily available through ETLs and reporting dashboards
  • Lead proactive exploratory data analysis and distill data insights into product recommendations and own the A/B tests in order to create new opportunities


  • Bachelor’s degree in Mathematics, Statistics or equivalent practical experience; Masters or PhD is preferred
  • 4+ years of work experience in Data Science/Analytics
  • Experience in handling large data sets using data querying languages such as SQL, scripting languages such as Python and statistical/mathematical software such as R, SAS or MATLAB
  • Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine the cause and effect relationships
  • Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs
  • Experience creating and owning reports in visualization tools
  • Ability to communicate and discuss complex topics with technical and non-technical audiences; excellent verbal and written communication skills


  • Background in economics, cryptocurrencies and/or trading