Θέσεις εργασίας στην Ελλάδα

Η αγγελία εργασίας έχει λήξει

13/9/2019

Data Scientist

Πληροφορική - Προγραμματιστές

Πόλη ΘΕΣΣΑΛΟΝΙΚΗ
Απασχόληση Πλήρης απασχόληση
Επίπεδο Σπουδών Ανώτατο Εκπαιδευτικό Ίδρυμα (ΑΕΙ)

Περιγραφή

Veltio is a world leader in retail analytics, providing know-how and integrated solutions to help retailers by automating and optimizing data-driven business processes. We are the largest integrator of Oracle Retail Planning and Optimization worldwide, with operations in the US, Russia, Chile, and Greece. At Veltio, we believe in working smarter, growing faster, and becoming better. We do so by building teams of people who help each other excel, who value collaboration, and take pride in their work.

Job Description 

  • You will develop proprietary algorithms and processes for the deployment of decision support systems (merchandise planning, demand forecasting, supply chain planning, and others) for customers world-wide
  • You will be responsible for the tuning and parameterization of retail planning and optimization systems for customers world-wide
  • You will be trained on cutting-edge decision support systems and state of the art data platforms
  • You may travel in Europe, the Americas, Middle East and Asia 

Απαραίτητα Προσόντα

  • Preferably a Master/PhD in Computer Science, Electrical Engineering or Operations Research with a focus on Optimization, Machine Learning, Numerical Modeling or Data Mining
  • Excellent knowledge of at least one high-level Object-Oriented Programming language, preferably Python
  • Experience in statistical analysis or numerical modelling - R, SPSS, SAS, MATLAB
  • Fluent English (written and spoken).
  • Willingness to travel (10% maximum)
  • Knowledge of Unix or Linux-type systems is a plus
  • Strong communication and organization skills
  • Good knowledge of Russian or Spanish is a plus.
  • Ability to learn quickly 

Παροχές

  • Internal training sessions for further development of skills and growth opportunities within Veltio
  • Handling project responsibilities at a global scale
  • Challenging workplace that prioritizes team work