Data Scientist Sr 2030
# Data Scientist Sr 2030 **Xideral** · Mexico · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Science]` `[Machine-Learning]` `[Statistical-Analysis]` `[Data-Scientist]` `[AI-Data-Scientist]` `[ML-Data-Scientist]` `[Data-Science-Specialist]` `[Research-Data-Scientist]` --- ### About the Role 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 evaluate their outputs. Location & Schedule: - Remote work Mexico. - Work hours Monday to Friday, 09:00 – 18:00 - Advanced English skills are mandatory, and only residents of Mexico Benefits: - Attractive Salary + legal benefits Candidates must include their compensation expectations in their applications and resumes in English. Interested? Apply now through this link: Originally posted on Himalayas
- Data-Science
- Machine-Learning
- Statistical-Analysis
- Data-Scientist
- AI-Data-Scientist
- ML-Data-Scientist
- Data-Science-Specialist
- Research-Data-Scientist
Наблюдалась 2026-10-17, впервые 2026-10-17, источник — Himalayas (JSON API).