Experience: Minimum of 5 years of professional experience in a Data Scientist or related analytical role.
Python Expertise: Exceptional, hands-on expertise in Python for data science, including deep familiarity with the full scientific stack (Pandas, NumPy, Scikit-learn).
Modeling: Proven ability to build, train, and validate sophisticated machine learning models in a production environment.
SQL & Databases: Strong proficiency in SQL and experience working with large datasets in databases like PostgreSQL, MySQL, or cloud-based data warehouses (e.g., BigQuery, Snowflake).
Experience with cloud platforms (AWS, GCP, or Azure) for model deployment.
Familiarity with big data processing tools like PySpark or Dask
