Data Scientist Sr 2030

Xideral

26d•Remote

About The Position

Seeking an experienced Senior Data Scientist for exciting projects. This role involves working with one of the largest retail companies in Mexico on complex business problems. The ideal candidate will have a strong statistical background, hands-on experience building machine learning solutions, and enjoy collaborating with engineering teams.

Requirements

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 evaluate their outputs.

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.