Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform

Are you strong in data science and python?  Are you a whiz at analyzing large amounts of financial data?  Ava Labs’ Finance team is looking to hire its first Data Scientist to be an integral part of evaluating the company’s financial performance.  This person will be responsible for data management, reconciliations, as well as the extraction and consolidation of a vast number of records inclusive of crypto and fiat.


  • Collaborate with Finance department to understand their data needs and proactively develop solutions to meet those needs
  • Collect and analyze large amounts of financial data to identify trends and patterns that can be used to improve business processes
  • Clean, structure and create data infrastructure for internal use
  • Contribute to the development of our company’s data strategy, including identifying new data sources and developing processes for data management and analysis
  • Use data visualization tools to create dashboards and reports that communicate complex financial information in a clear and concise manner
  • Stay up-to-date with the latest trends and developments in the field of finance and data analysis


  • Bachelor’s or Master’s degree in Finance, Statistics, Applied Mathematics, or a related field
  • 3+ years of industry experience in a data scientist role
  • 1+ years in a start-up environment preferred
  • Proficiency in SQL – able to write structured and efficient queries on large data sets
  • Experience in programming, especially with data science and visualization libraries in Python or other object oriented languages
  • Track record of success producing  high quality data pipelines and analysis that lead to actionable insights
  • Strong verbal and written communication skills
  • Ability to build strong relationships with key people or organizations
  • The ability to lead through influence, not authority
  • Passion for crypto/web3 and eagerness to consume latest news and developments
  • Thorough attention to detail and high organizational skills
  • Comfortable working with low oversight, being proactive and anticipating future needs

Base Salary Range: $122,000 – $167,900

(**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.)

#LI-Remote #LI-TW1


If you’ve ever thought about joining an early stage Web3 company – this is it! We’re a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We’re highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others.

Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Pour postuler à cette offre d’emploi veuillez visiter boards.greenhouse.io.