Job Summary

Responsibilities

Partner with analysts to continuously improve data quality monitoring and scoring of data sources that powers the Chainlink ecosystem
Develop models to detect early signs of a data provider misbehavior for the business to respond to before negative consequences occur
Partner with engineering to build robust monitoring and alerting solutions to detect and triage anomalies
Own data pipelines end to end to support your core functions and model reusable data sets as the data warehouse continues to grow
Closely work with other data scientists at Chainlink Labs to improve craft and align on best practices.

Requirements
Professional experience working with financial market and exchange data.3+ years of professional Data Science experience
Professional experience and comfort performing complex manipulation in SQL on large datasets
Advanced knowledge of data modeling, pipeline, and warehousing
Proficiency in programming fundamentals in a language such as Python or Golang
Experience owning multi month long projects, including communication of progress, dependencies, and risk mitigation directly with stakeholders and partners.

Desired Qualifications
Interest and/or experience in blockchain and other Web 3.0 technologies
Professional experience working closely alongside an engineering team
Professional experience in BigQuery
Professional experience owning the development of a data pipeline from data lake to model
Experience working in an agile environment
Experience working with a team located across multiple time zones