Data Scientist

• Translate technical results into clear, actionable business insights.
• Design and run systematic experiments and evaluate model performance using appropriate metrics.
• Apply data augmentation and balancing techniques to optimize model generalization.
• Create visualizations and statistical analyses (distributions, co-occurrences, n-grams, embeddings).
• Collaborate with Machine Learning engineers and product teams to prototype analytical solutions and predictive models.