Avalanche is an open-source platform for launching decentralized finance applications and enterprise blockchain deployments in one interoperable, highly scalable ecosystem. Developers who build on Avalanche can easily create powerful, reliable, and secure applications and custom blockchain networks with complex rulesets or build on existing private or public subnets.


Ava Labs makes it simple to launch finance applications using blockchain technology–with highly scalable and efficient networks, customizable public and private blockchains, the capability to create any digital asset, and more. We are empowering people to build an open, simple, and democratic internet of finance that enables the world to have a more prosperous future.

Ava Labs was founded by Cornell computer scientists who brought on talent from Wall Street to execute their vision. The company has received funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant.


  • Own the organizations approach to product/operational analytics, data visualization, analysis and modeling
  • Design and deliver data visualizations for enhanced decision making
  • Develop strategies to leverage data and streamline company processes using advanced data modeling
  • Establish and execute a vision for the delivery of information and analytics platforms 
  • Evangelize utilization of business intelligence technology across functional roles
  • Create custom tools to assist specific business processes
  • Identify undocumented process and methodologies, provide feedback to management for documentation improvements
  • Manage various business intelligence projects simultaneously
  • Establish testing protocols to ensure the accuracy of the data presented
  • Evaluate and select technical tools for data visualization and data mining
  • Collaborate and communicate regularly with the executive management team


  • Bachelor’s degree in Data Science or related discipline
  • 3+ years of professional data science experience
  • Data mining, machine learning and data visualization
  • Python
  • R
  • SQL (Postgres) and/or NoSQL (DynamoDB, GraphDB)
  • Big Data Pipelines (Kafka, Spark, Hadoop, SQS)
  • AWS native architectures (Redshift, Snowflake and Aurora) 
  • Ability to break down and understand complex business problems, define a solution and implement it
  • Ability to accurately perform complex mathematical computations
  • Demonstrable depth of knowledge in blockchain, crypto and DeFi (independent learning or professional)

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