# Senior Data Scientist

**Company:** [Cepal Hellas Financial Services S.A.](http://jobs.workable.com/companies/hhpWvgsAG5eUXdvh8uB39t.md)
**Location:** Nea Smyrni, Greece
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Data and Analytics

[Apply for this job](http://jobs.workable.com/view/4209d492-666e-4579-940b-b844e83a5bf1)

## Description

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

**Main Accountabilities**

-   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.
-   Hands-on experience with Databricks, Apache Spark and PySpark for large-scale data processing, analytics and development of scalable solutions.
-   Experience with Git-based development, version control, code reviews, CI/CD practices, model deployment, monitoring and lifecycle management.
-   Advanced knowledge of SQL and experience working with large and complex datasets, including data extraction, transformation, validation and query optimization.
-   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.

## 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