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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 platformThe Data Science team is responsible for providing actionable insights to the Ava Labs product org around improving the core user experience.
We are seeking an experienced Data Scientist with some experience owning and maintaining data pipelines. This particular role will be expected to assist with a variety of data-related products and help identify real-world insights from on-chain data.
WHAT YOU WILL DO
- Collaborate with product, marketing, and engineering teams to identify, define, and launch strategic and operational data science initiatives to improve core user experience
- Help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends
- Design and build robust, scalable & reliable real-time pipelines to ingest various types of blockchain data into cloud-native databases
- Improve Ava Labs’ products and decision-making by growing and optimizing our current data sets
- Identify data needed for various business and engineering projects, collaborate with other engineers to create scalable solutions for ingesting and processing the required data
- Sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy
WHAT YOU WILL BRING
- Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
- Demonstrable depth of knowledge in blockchain, crypto, and DeFi (independent learning or professional)
- 3+ years of industry experience in a data science or product analytics role
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Proficiency in Golang, Spark, or Python
- Experience building out data flows from ingestion up to simple dashboards, including stakeholder engagement
- Experience in causal inference and advanced experimentation methods
- Practical experience in applied statistics and data science methodologies (e.g. data modeling and predictive analytics, multivariate regression analysis, machine learning)
- Familiar with the concepts of containerization and its management i.e. Docker and Kubernetes is a plus
- Experience with DBT modeling a plus
Salary Range: $128,400 to $160,400(**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-RP1
WHY AVA LABS?
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.
