Data Scientist at Mundiale focused on improving brand-consumer interactions using advanced technology. Collaborate with engineers and product teams in analytical solutions and predictive models.
Responsibilities
Translate technical results into clear, actionable business insights.
Conduct 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.
Requirements
Strong educational background in Statistics, Data Science, or a related field.
Experience with supervised and unsupervised modeling.
Knowledge of applied NLP and semantic representation techniques (embeddings, vectorization, dimensionality reduction).
Familiarity with LLMs and RAG architectures.
Experience with Python, Pandas, Scikit-learn, and visualization libraries (Matplotlib, Seaborn, Plotly).
Preferred qualifications:
Experience with experimentation and prototyping of PoCs (proofs of concept).
Knowledge of model deployment and versioning frameworks (MLflow, Kubeflow, etc.).
Interest in applied AI for products and automation of conversational flows.
Benefits
Flexible Benefit (choose how to use it according to your needs: culture, transportation app, subscriptions, gym, meals, etc.)
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