Data Scientist (Snowflake, Scikit-learn)

Your responsibilities

• Develop and deploy machine learning models to solve business problems such as forecasting, classification, and segmentation using Python (scikit-learn, Pandas, NumPy).
• Perform advanced data analysis and SQL-based data extraction from large-scale data warehouses (e.g., Snowflake) to support decision-making and reporting.
• Build and maintain interactive dashboards and visualizations in Tableau to communicate insights to stakeholders.
• Collaborate with data engineers and software teams to implement and maintain ML pipelines using MLOps practices, CI/CD, and dbt in a cloud environment (AWS).

Our requirements

• 5+ years of experience in a Data Scientist or similar analytics role.
• Strong proficiency in Python, including experience with scikit-learn, Pandas, and NumPy.
• Advanced SQL skills with experience working in large-scale data environments (e.g., Snowflake).
• Solid understanding of machine learning, statistical modeling, and data-driven problem solving.
• Experience with data visualization tools such as Tableau.
• Familiarity with Git and version control workflows.
• Experience working in Agile/Scrum teams.
• Hands-on experience with cloud platforms (preferably AWS).