-Experienced and hands-on Data Engineer;
-Experience with statistical sampling methods, experiment design;
-Solid experience with ML, including anomaly detection, change detection in the context of time-series;
-Demonstrated track record of delivering data-based projects with advanced analytics technologies and ML deployed to production;
-Experience with production systems monitoring tools;
-Comfort and experience in Software engineering with distributed systems.
-cozy office
-benefit package
-strong team
-be a part of one of the coolest AI-based product
-Lead company-wide effort to manage data quality across the entire product;
-Thought leadership and defining data acquisition and generation strategy.
Intelligently apply the latest Machine Learning and Data Science technologies to build products for customers. Provide expert guidance for each stage of data application development: ideation, exploration, development, productization, and support.