Senior Data Scientist
On-siteNéa Smýrni, Attica, Greece
Job Summary
Develop and deploy predictive models, transforming complex data into scalable, high-impact analytical solutions. Design end-to-end data science solutions for business problems, taking projects from proof of concept through production, including testing, packaging, deployment, and continuous monitoring. Leverage Python, Databricks, Apache Spark, and PySpark for large-scale data processing, while optimizing SQL queries and managing CI/CD pipelines with Git. Apply machine learning libraries such as pandas, NumPy, scikit-learn, and MLflow to build reusable, production-ready code. Demonstrate ownership, adaptability, and strong collaboration with stakeholders to drive strategic growth and long-term planning.
Required Qualifications
- Minimum 4 years of hands-on experience in Data Science, AI, 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
- 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
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics or another quantitative discipline
Desired Qualifications
- Familiarity with AWS cloud environments and services supporting data storage, processing and application integration
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