Senior Data Scientist
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Before you apply
LocationNea Smyrni, Attica, Greece
Typefull-time
SenioritySenior
Experience4+ yrs
DepartmentData and Analytics
Company size13+ people
PostedJul 15, 2026 · 3mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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, 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
Hands-on experience with Databricks, Apache Spark and PySpark for large-scale data processing, analytics and development of scalable solutions
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
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
Collaboration, teamwork and effective stakeholder relationships
Business and strategic thinking, growth opportunities and long-term planning
Leadership, role modeling, high standards and performance recognition
Familiarity with AWS cloud environments and services supporting data storage, processing and application integration will be considered an advantage
Professional ethos, alignment with values and compliance standards
Skills
Python
SQL
Databricks
Apache Spark
PySpark
AWS
pandas
NumPy
scikit-learn
MLflow
Git
About the role
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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