Seeking Experienced Data Scientist Sr for Exciting Projects Remote Mexico

We are looking for a Senior Data Scientist to join an exciting project with one of the largest retail companies in Mexico. If you have a strong statistical background, hands-on experience building machine learning solutions, and enjoy solving complex business problems while collaborating with engineering teams, we'd like to hear from you.
Key Responsibilities:
- Translate complex business challenges into data science and machine learning solutions.
- Design, develop, validate, and deploy statistical and ML models.
- Work with large-scale datasets using Python, SQL, and PySpark.
- Collaborate closely with ML Engineers and Data Engineers to deliver production-ready solutions.
- Apply rigorous statistical methods, hypothesis testing, and causal inference techniques.
- Document models, assumptions, limitations, and experiment results following engineering standards.
- Develop modular, maintainable, and reproducible Python code.
Technical Skills Required:
- Required Skills:
- Master's or PhD in Mathematics, Statistics,



Actuarial Science, Physics, Computer Science, or a related field.
- Fluent in English (Advanced) B2 - C2
- 5+ years of experience in Data Science, Statistical Analysis, or Applied Research.
- Expert-level Python.
- Strong experience with:
- Scikit-Learn
- XGBoost
- LightGBM
- Pandas
- Polars
- Statsmodels
- SciPy
- Experience with TensorFlow or PyTorch when appropriate.
- Advanced SQL and PySpark.
- Experience working with cloud storage platforms such as GCS or Azure Blob Storage.
- Strong understanding of:
- Experimental Design
- Hypothesis Testing
- Causal Inference
- Model Validation
- Professional experience using Git.
- Experience with MLflow or similar experiment tracking tools.
- Familiarity with software engineering best practices, including versioning, modular code, and documentation.
- Responsible use of Generative AI tools with the ability to validate and critically evalu

📌 Data Scientist Sr 2030 (Ciudad de México)
🏢 Xideral
📍 Ciudad de México