Data Scientist Senior

1 giorno fa

Roma, Lazio, Italia Soft Strategy Group SpA A tempo pieno
Descrizione del Ruolo

Il candidato ideale per questo ruolo di Data Scientist Senior deve avere una solida esperienza di almeno 2-4 anni nel campo dell'intelligenza artificiale e dei dati. La laurea in Informatica, Ingegneria Informatica, Matematica, Fisica o in un campo correlato è richiesta.

Requisiti Fondamentali
  • Conoscenza approfondita di algoritmi di machine learning (supervisionati e non supervisionati)
  • Esperienza nell'uso di linguaggi di programmazione (Python e/o R)
  • Competenze di ingegneria del software (Git, testing, debugging, CI/CD)
  • Esperienza con strumenti di containerizzazione e deployment (Docker, Kubernetes)
  • Capacità di progettazione e implementazione di pipeline di machine learning (MLOps)
  • Conoscenza di tecniche di ottimizzazione e tuning di iperparametri
  • Esperienza nell'integrazione di modelli ML in applicazioni reali (API, microservizi)
Requisiti Tecnici
  • Esperienza con framework di machine learning come TensorFlow, PyTorch, Scikit-learn
  • Competenza in database relazionali e non relazionali (SQL, NoSQL, MongoDB)
  • Esperienza con servizi di cloud computing (AWS, GCP, Azure)
  • Conoscenza delle metriche di valutazione e validazione dei modelli di machine learning
  • Capacità di utilizzare strumenti di versioning dei modelli (MLflow, DVC)
  • Esperienza con tecniche avanzate di machine learning (deep learning, reinforcement learning)
  • Conoscenza di tecniche di Natural Language Processing (NLP) e/o Computer Vision (CV)
Altri Requisiti
  • Esperienza con modelli pre-addestrati e tecniche di transfer learning
  • Capacità di data preprocessing e data cleaning su dataset di grandi dimensioni
  • Esperienza nell'uso di strumenti di data visualization (Matplotlib, Plotly, Tableau)
  • Abilità nel lavorare con team multidisciplinari su progetti complessi
Competenze Trasversali
  • Eccellenti capacità di problem solving e pensiero critico
  • Capacità di lavorare in team e collaborare con colleghi di diverse aree funzionali
  • Ottimi doti di comunicazione, con la capacità di spiegare concetti tecnici complessi in modo chiaro
  • Attitudine a lavorare in un ambiente dinamico e a risolvere problemi in modo autonomo

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