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Senior Data Scientist
Cepal Hellas Financial Services S.A.Senior Data Scientist responsible for developing predictive models and scalable analytical solutions. Transforming complex data into high-impact solutions for business problems.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying predictive models using Python, SQL, and machine learning libraries, while effectively managing end-to-end data science solutions in cloud environments. Strong focus on collaboration, customer needs, and continuous improvement in data-driven decision-making.
Highest-signal resume keywords
Python ProgrammingSQL ExpertiseMachine Learning SolutionsDatabricks and Apache SparkCI/CD Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningPredictive ModelingData ExtractionData TransformationUnit TestingObject-Oriented ProgrammingModular Code DesignException HandlingQuery Optimization
Soft Skills
Ownership and AccountabilityAdaptability and InnovationCustomer FocusProactivity and InitiativeCollaboration and Teamwork
Tools & Technologies
DatabricksApache SparkPySparkAWS Cloud ServicesMLflowGit
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Statistics
Industry Keywords
Advanced AnalyticsEnd-to-End Data Science SolutionsContinuous ImprovementLifecycle ManagementComplex Datasets
Tech Stack
Tools & technologiesApacheAWSCloudNumpyPandasPySparkPythonScikit-LearnSparkSQL
About the role
Key responsibilities & impact- The Senior Data Scientist is responsible for the development and deployment of predictive models, transforming complex data into scalable, high-impact analytical solutions.
- 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
What you’ll need- 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.
- 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
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Cepal Hellas Financial Services S.A. Website LinkedIn All Job Openings 1001 - 5000 employees Cepal is a pioneering company in the Greek market, specializing in providing servicing management for loan and credit receivables, regulated by the Bank of Greece. Senior Data Scientist 🔥 45 minutes ago 🏢🏡 Nea Smyrni – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- The Senior Data Scientist is responsible for the development and deployment of predictive models, transforming complex data into scalable, high-impact analytical solutions.
- 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
- 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.
- 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 Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs