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Senior Data Scientist
Titan Decorative Materials GroupSenior Data Scientist building AI-powered forecasting, planning, scheduling, and logistics optimization tools for Titan Group. Delivering production ML applications across Supply Chain operations.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing machine learning and optimization-driven applications for Supply Chain operations, with a strong focus on forecasting, planning, and logistics optimization. Proficient in collaborating with cross-functional teams and guiding project workstreams to ensure successful tool adoption and performance evaluation.
Highest-signal resume keywords
MSc In Computer ScienceProduction-Grade Analytics SolutionsPython ProgrammingMLOps/DevOps ExperienceSupply Chain Optimization Algorithms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningOptimization TechniquesForecastingSQLOOPDeep LearningReinforcement LearningSoftware Development PracticesPerformance EvaluationProject Structuring
Soft Skills
Influencing Without AuthorityCollaborationSelf-Motivation
Tools & Technologies
AzureDockerCI/CD PipelinesContainerization
Certifications & Qualifications
PhD In Data, Analytics, Or Computational Field
Industry Keywords
Supply Chain OperationsOperational ResearchLogistics OptimizationCross-Functional Teams
Tech Stack
Tools & technologiesAzureDockerPythonSQL
About the role
Key responsibilities & impact- Design and develop ML- and optimization-driven applications supporting Supply Chain operations
- Drive end-to-end delivery of Supply Chain use cases, including forecasting, planning, scheduling, and logistics optimization tools
- Participate in development, deployment, monitoring, maintenance, and continuous improvement across the full tool lifecycle
- Build monitoring and performance-evaluation capabilities for deployed models and optimization engines
- Collaborate daily with data scientists, data engineers, software engineers, DevOps specialists, and Supply Chain experts
- Guide small workstreams and drive alignment and adoption of tools across cross-functional teams
Requirements
What you’ll need- MSc in Computer Science, Data Science, Engineering, or a related STEM field
- Minimum 5 years of experience delivering production-grade analytics solutions in forecasting, optimization, or advanced ML
- Proven experience structuring projects and guiding small workstreams
- Ability to work with diverse cross-functional teams and influence without direct authority
- Strong programming skills in Python, including OOP, Git, and SQL
- Hands-on experience with software development practices and MLOps/DevOps in production environments
- Excellent command of Greek and English, written and verbal
- Military obligations completed, if applicable
- Familiarity with Azure, Docker, containerization, and CI/CD pipelines
- Experience with advanced ML techniques such as Deep Learning or Reinforcement Learning
- Bonus: PhD in a data, analytics, or computational field
- Background in Operational Research or experience with Supply Chain optimization algorithms
- Self-motivated exploration of new development paradigms, such as agentic workflows and vibe-coding techniques
Benefits
Comp & perks- No benefits or compensation extras are explicitly stated