Data Scientist

Що робити

• Independently investigate open-ended research questions, formulate hypotheses, and determine effective approaches to solving complex data-driven problems.
• Design experiments, develop prototypes, and build and evaluate machine learning models for anomaly detection, fraud identification, forecasting, and optimization.
• Analyze large-scale, heterogeneous, and multi-source datasets to uncover patterns, validate hypotheses, and generate actionable insights.
• Take promising solutions from research and experimentation through model validation, production deployment, and performance monitoring.
• Communicate research findings, explain model behavior, and translate technical results into practical recommendations in collaboration with the AI Engineering team and other stakeholders.