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Manager Data Analysis & Science (m/f/d)

Alpitronic

Bolzano

In loco

EUR 40.000 - 80.000

Tempo pieno

30+ giorni fa

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Descrizione del lavoro

Un'azienda innovativa nel settore della mobilità elettrica cerca un leader per il team di analisi dei dati. Questa posizione offre l'opportunità di guidare progetti all'avanguardia, sviluppare algoritmi avanzati e implementare strumenti AI per ottimizzare le prestazioni delle infrastrutture di ricarica. Se sei appassionato di tecnologia e desideri contribuire a un futuro sostenibile, questa è l'occasione perfetta per te. Un ambiente di lavoro dinamico e opportunità di crescita ti attendono, insieme a un team giovane e motivato. Unisciti a noi e fai la differenza!

Servizi

Ambiente di lavoro innovativo
Progetti high-tech
Opportunità di avanzamento
Formazione continua
Sistema di bonus attraente
Benefici aziendali aggiuntivi

Competenze

  • Laurea in Informatica, Matematica o Fisica richiesta.
  • Conoscenza di linguaggi di programmazione come C++/C# e Python.

Mansioni

  • Guidare il team di analisi dei dati e scienza, sviluppando algoritmi e modelli.
  • Gestire e supportare l'implementazione di casi d'uso per le applicazioni interne.

Conoscenze

C++/C#
Python
SQL
NoSQL
Tensorflow
Keras
PyTorch
Data analysis techniques
Visualization libraries
Statistical algorithms

Formazione

Laurea in Informatica
Laurea in Matematica
Laurea in Fisica

Strumenti

Deep learning libraries
Visualization libraries

Descrizione del lavoro

Your Responsibilities

  • Lead the Data Analysis & Science team, as a key part of company’s global R&D
  • Draw and deploy an innovative and futuristic vision of big data utilization in EVSE industry
  • Manage, fertilize and support the definition and implementation of uses cases for all internal data analysis & science applications
  • Develop algorithms and data models using deep learning techniques, identifying trends and correlations between charging variables
  • Deploy AI tools to supervise and improve chargers fleet’s performances and reliability
  • Implement relevant HMIs & BIs, providing a company cross-functional support
  • Identify & deploy new development areas to optimize the production process (EOL)
Your Qualifications & Skills

  • Degree in Computer Science, Mathematics, Physics or similar
  • Familiarity with programming languages such as C++/C#, Python as well as basic knowledge of relational Databases (SQL and NO-sql)
  • Knowledge of deep learning libraries like Tensorflow, Keras, PyTorch
  • Knowledge of data analysis techniques such as regression and classification
  • Skills in using visualization libraries such as matplotlib and seaborn
  • Ability to implement executables (HMI) for data analysis and visualization
  • Skills in the use of the main statistical algorithms
  • Attention to details, ability to find and identify an efficient strategy managing a large amount of data
  • Extensive experience within a leading position in a scientific or technical environment
  • Fluent in Italian and/or German, as well as in English
OUR COMMITMENT

  • Innovative work environment in a young, dynamic team
  • High-tech projects in the future-proof sector of e-mobility
  • Opportunities for advancement in a growing company
  • A wide range of further training opportunities
  • Attractive bonus system and performance-related pay
  • Additional company benefits
WHY ALPITRONIC

Together with our customers, we are driving the world towards sustainable mobility – with cutting-edge technology, we inspire with the most innovative and reliable solutions. With our roots in South Tyrol, we are market and innovation leaders and set the future charging infrastructure standards from our locations in Bolzano/Bozen, Bergamo, Bologna, Munich and Charlotte (USA).


WHAT MAKES WORKING FOR US SPECIAL

We are excited to meet individuals who are enthusiastic about making things happen, take personal responsibility and appreciate seeing the direct results of their work in the final product. We are a fast-growing company and offer our top teams a diverse and challenging range of tasks in a respectful corporate culture. Your contributions matter, are appreciated and have a significant impact! Join us and be part of our team!

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