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

Benefits

Here’s what you can look forward to as part of the #CepalTeam:

• Competitive Compensation : We offer an attractive salary, annual performance-based bonuses, and a monthly meal allowance through our ticket restaurant card.

• Health: Private medical insurance is provided for you and your family.

• Family Support: Monthly financial allowance for early education (nursery) and coverage of expenses for children with neurodiversity or disabilities—including therapeutic swimming, music therapy, horse riding, and parental support.

• Flexible Work Model: Our hybrid approach offers a level of remote work flexibility that supports work-life balance while preserving strong collaboration and team spirit.

• Modern Workspaces: Contemporary offices designed to support comfort, health, and productivity, with fully equipped workstations, quiet areas, on-site restaurant, and group fitness sessions .

• Lifelong Learning: Cepal supports continuous learning through access to e-learning platforms and structured professional development programs.

• Career Progression: We are committed to your growth, offering a clear development path supported by feedback, mentoring, and personalized learning plans.

• Make a Difference: Get involved in regular wellbeing, ESG and volunteering initiatives that reflect our values and foster a sense of purpose and community.

At Cepal, we believe that inclusion is more than a value, it's a way of thinking and acting. As members of the Diversity Charter Greece, we are committed to fostering a workplace where every individual feels respected, empowered, and free to contribute meaningfully.

In accordance with applicable pay transparency legislation, as part of the recruitment process and prior to the first interview, candidates will be provided with information regarding the initial remuneration to the position, as determined on the basis of objective and gender-neutral criteria.

All applications are treated fairly, confidentially, and based solely on qualifications and merit.