Senior Data Scientist

Job Requirements:  

• Educational Background Data Science, Computer Science, Statistic, or a related field;  
• 1-3 years of experience as a Data Scientist; 
• Proficiency in Python and SQL (MySQL, PostgreSQL)
• Hands-on experience with Docker and cloud platforms (AWS, GCP, or Azure).
• Expertise in machine learning techniques, statistical modeling, and data mining.
• Strong understanding of MLOps, model lifecycle management, and deployment automation.
• Solid experience with model validation, optimization, and monitoring techniques.
• Knowledge of Agile methodology and experience working in Agile teams.
• Experience with version control systems (e.g., Git).
• Exposure to banking, online payment, or financial services is a advantage.

Job responsibilities:  

• Develop and optimize machine learning models to solve business problems.
• Conduct thorough data preprocessing, feature engineering, and selection.
• Design and implement scalable solutions for handling large datasets.
• Validate, monitor, and refine models using A/B testing, cross-validation, and error analysis.
• Collaborate with cross-functional teams to integrate models into production environments.
• Automate model deployment pipelines using MLOps best practices.
• Create and maintain clear documentation for data models and processes.
• Develop dynamic dashboards and reporting tools for monitoring model performance.

Working schedule: 5 days a week, 09:00-18:00.