Data Scientist (Python)

As a Data Scientist with a minimum of 5 years of professional experience in a related analytical role, you will be expected to have exceptional Python expertise. This includes hands-on experience with the full scientific stack, such as Pandas, NumPy, and Scikit-learn. Your key responsibilities will involve building, training, and validating sophisticated machine learning models in a production environment. In addition, you should have strong proficiency in SQL and experience working with large datasets in databases like PostgreSQL, MySQL, or cloud-based data warehouses like BigQuery or Snowflake. Experience with cloud platforms such as AWS, GCP, or Azure for model deployment will be essential for this role. Familiarity with big data processing tools like PySpark or Dask is also preferred. Qualifications Required: - Minimum of 5 years of professional experience in a Data Scientist or related analytical role - Exceptional expertise in Python for data science, including familiarity with Pandas, NumPy, and Scikit-learn - Proven ability to build, train, and validate sophisticated machine learning models in a production environment - Strong proficiency in SQL and experience working with large datasets in databases like PostgreSQL, MySQL, or cloud-based data warehouses - Experience with cloud platforms (AWS, GCP, or Azure) for model deployment - Familiarity with big data processing tools like PySpark or Dask,