Senior Data Scientist

Proficiency in Python for analysis and statistical modeling. Proficiency in SQL and manipulation of large data volumes. Solid experience with data science libraries (pandas, numpy, scikit-learn, statsmodels, PySpark). Experience with Spark and/or distributed processing. Knowledge of inferential statistics, hypothesis testing, and multivariate analysis. Proven experience with predictive modeling and model performance evaluation. Proficiency in data storytelling for executive and non-technical audiences. Experience in MLOps, including GIT, CI/CD pipelines, and production model monitoring.

Lead advanced analytical studies using statistical and Data Science methods. Translate complex business problems into rigorous analytical hypotheses and high-impact data-driven solutions. Design, develop, and operationalize cutting-edge predictive and prescriptive models. Ensure model robustness and sustainability in production with MLOps best practices. Collaborate with Data Engineering and Product Managers to optimize data pipelines and model application. Contribute to the evolution of analytical architecture and data/model governance. Lead innovation experiments in AI applied to business problems. Mentor technical team members in Data Science best practices. Promote an analytical culture throughout the company.