Software Engineer - Data Quality

📋 Description

• Build performant AI-based anomaly detection and monitoring systems, using machine learning and
• Design, implement, test, deploy, operate, and tune the online services, automation, and tooling
• Detect and characterize data-quality issues such as missing or late feeds, volume and distribution
• Develop and evaluate detection approaches, from statistical baselines and time-series methods
• Turn detection output into signals people can act on: alerts with root-cause context, data-quality
• Work with data-processing engineers to build quality checks into pipelines so that defects are

🎯 Requirements

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 1+ years of experience building production-quality services on a cloud platform such as Azure, AWS
• 2+ years writing Python for machine learning, AI-based data analytics, or statistical modeling.
• Hands-on experience across the software development lifecycle: design, implementation, testing
• Working knowledge of the statistics and model-evaluation methods that underpin that modeling work.
• Strong problem-solving skills and the ability to learn a new domain quickly.