DataArt is modernizing the IT system of an independent online railway ticket retailer. We hire for the company, not just the project—ensuring smooth transitions between assignments or paid idle time. In this role, you’ll optimize digital products using data-driven experimentation and analytics. You’ll use tools like Statsig to run large-scale A/B and multivariate tests, apply advanced statistical models (e.g., CUPED, Bayesian Autotune), automate traffic allocation to top-performing variants, manage feature flagging with gradual rollouts, kill switches, and targeting, and link feature flags to product metrics.
The client engages users through a mobile app, responsive web application, and call center. The system is complex and must comply with numerous regulations. The system is built on a microservice architecture with continuous integration. Hundreds of components run independently on AWS, increasing modularity and optimizing service usage.
Multiple independent teams contribute to different parts of the system. DataArt specialists are embedded across these teams. The mobile team is focused on shaping the future of the client’s mobile app—enhancing performance and evolving its functionality.
Android: Kotlin, JetPack Compose UI: MVVM, MVP, MVI Concurrency: Kotlin Coroutines, RX Java, RX Kotlin Dependency Injection: Dagger (without Hilt) Testing: Espresso, JUnit, Mockito Experimentation: StatSig, Crashlytics, A/B testing