About the Role:
We are looking for a Senior Data Scientist to take ownership of a key part of our forecasting and marketing analytics capabilities.

The main challenge will be to evolve our current regression-based forecasting solution toward more advanced approaches, particularly Transformer-based architectures for time series forecasting.

This is not a role focused solely on implementing predefined models. We are looking for someone who can understand the business and data problem, define the modeling approach, experiment with alternatives, rigorously validate results, and ultimately help bring models into production.

You will have significant autonomy and technical ownership, working closely with the team while bringing your own judgment to modeling and architectural decisions.

What You'll Do:
- Design, develop, train, and validate advanced time series forecasting models.
- Evaluate Transformer-based forecasting architectures, including Chronos-2, as well as alternatives such as TFT, PatchTST, Informer, or other relevant approaches.
- Build and run experiments using Python,



PyTorch, NumPy, Pandas, and Scikit-learn.
- Train and validate models using AWS SageMaker.
- Design rigorous validation strategies for time series, including:
- Temporal validation
- Backtesting
- Rolling and expanding training windows
- Leakage prevention
- Evaluation on future/unseen periods
- Compare different models and architectures, going beyond metrics to understand and explain why one approach performs better than another.
- Translate forecasting results into actionable business insights and marketing decisions.
- Contribute to Marketing Mix Modeling (MMM), attribution, and budget optimization initiatives.
- Analyze channel contribution, incremental impact, saturation effects, and different investment scenarios.- Clearly communicate technical decisions, assumptions, results, and trade-offs to both technical and business stakeholders.

What We're Looking For:
- Strong experience in M

📌 Senior Data Scientist (Buenos Aires)
🏢 Vairix
📍 Buenos Aires