Senior Data Scientist at Cepal Hellas Financial Services S.A. – Nea Smyrni | Jobyssey

The Senior Data Scientist is responsible for the development and deployment of predictive models, transforming complex data into scalable, high-impact analytical solutions.

Requirements

Education, Experience and Technical Skills

Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or another quantitative discipline.
Minimum 4 years of hands-on experience in Data Science, ΑΙ, Machine Learning or Advanced Analytics.
Proven experience designing and implementing end-to-end data science solutions for complex business problems.
Demonstrated experience taking solutions from proof of concept to production, including testing, packaging, deployment, monitoring and continuous improvement.
Strong hands-on programming experience in Python, including object-oriented programming, modular code design, exception handling, logging, unit testing and development of reusable, maintainable and production-ready solutions.
Advanced knowledge of SQL and experience working with large and complex datasets, including data extraction, transformation, validation and query optimization.
Hands-on experience with Databricks, Apache Spark and PySpark for large-scale data processing, analytics and development of scalable solutions.
Familiarity with AWS cloud environments and services supporting data storage, processing and application integration will be considered an advantage.
Strong knowledge of machine learning and data science libraries, including pandas, NumPy, scikit-learn and MLflow.
Experience with Git-based development, version control, code reviews, CI/CD practices, model deployment, monitoring and lifecycle management.

Competencies

Ownership and accountability, responsibility for decisions and commitment to results
Adaptability and innovation, openness to change and continuous learning
Customer focus, understanding needs and building strong relationships
Proactivity and initiative, problem solving and opportunity identification
Professional ethos, alignment with values and compliance standards
Collaboration, teamwork and effective stakeholder relationships
Business and strategic thinking, growth opportunities and long-term planning
Leadership, role modeling, high standards and performance recognition

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