Back to jobsWork with our Data Scientists to design datasets that are useful for creating statistical and machine-learning models
Design, develop and maintain feature stores as well as the accompanying feature pipelines that will be used in creating training data as well as real-time inference features
Implement data quality and integrity checks and ensure the quality and availability of data sources in accordance with their SLAs
Align with Data Engineering and Data Governance team to achieve maturity in the data
Create and maintain software packages for use by our Data Scientists to help improve their model development workflow
Build CI/CD pipelines and microservices, to improve time to deployment and proactively catch issues before they hit production
Provide guidance on best practices for code and architecture of data pipelines and microservices, and do code and architecture reviews to ensure adherence to best practices
Communicate technical architecture and solutions, as well as explain the competitive advantage of various technologies to a broad audience
Create and maintain architecture and systems documentation