Jobs at Oscilar

Develop and optimize machine learning and statistical models for fraud detection and anti-money laundering. Analyze large datasets to identify fraudulent patterns, build scalable data pipelines and features, evaluate model performance, and collaborate with engineering, product, and operations teams. Communicate insights to technical and non-technical stakeholders while maintaining data privacy and security compliance. The role offers significant ownership in building Oscilar’s early machine learning stack within a remote-first startup.

Lead design and development of a high-performance Web SDK for device fingerprinting and behavior analytics. Implement algorithms for fingerprints and interaction capture, optimize cross-browser performance, build CI/CD and automated cross-browser tests, ensure data privacy/security, mentor engineers, conduct code reviews, and collaborate with product and QA to deliver scalable, maintainable SDKs.