Data Scientist Senior

NTT; Bologna; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading data solutions company located in Bologna is seeking a Senior Data Scientist. The ideal candidate should have expertise in Generative AI, strong proficiency in Python and SQL, and experience in managing multiple projects. Responsibilities include collaborating with various teams and establishing relationships with clients. This role offers opportunities to innovate in data science and enhance industry products.

Competenze

• 3-5 years of experience as a data scientist.
• Proficiency in Python (mandatory) and SQL.
• Experience with TensorFlow and PyTorch focusing on Computer Vision.

Mansioni

• Manage multiple projects and lead data science teams.
• Liaise with stakeholders for timely execution of tasks.
• Conduct research and analysis for industry models.

Conoscenze

Python

SQL

Machine Learning

Deep Learning

Generative AI

Collaboration

Strumenti

TensorFlow

PyTorch

Java

Scala

C++

R

Descrizione del lavoro

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Responsibilities

The ideal candidate for the Senior Data Scientist position at NTT DATA will possess a diverse skill set including hands-on experience with Generative AI (preferably on Azure/GCP and on-premise), engineering best practices, statistical expertise, and skills in Machine Learning and Deep Learning. A strong business sense is also essential.

The Senior Data Scientist will collaborate with fellow data scientists, data engineers, ML engineers, product managers, business analysts, and stakeholders from both internal teams and external clients.

They will be responsible for managing multiple projects, leading data science teams, and liaising with stakeholders to ensure timely and quality execution of tasks.

Required Skills

• Experience of at least 3-5 years as a data scientist
• Proficiency in Python (mandatory) and SQL
• Knowledge of Java/Scala or C++/R is a plus
• Experience with TensorFlow and PyTorch, focusing on Computer Vision solutions
• Understanding of ML solutions architecture and Generative AI pipelines
• Experience with cloud and hybrid ML implementations
• Ability to incorporate new business intelligence, machine learning, and data practices to improve efficiency and revenue
• Ownership of the full lifecycle of data science projects from data wrangling to deployment
• Collaboration with data engineers to produce production-ready pipelines including data ingestion, cleaning, feature engineering, and model training/prediction
• Conduct research and analysis into reinsurance and advisory products to enhance industry models and develop new offerings
• Establish and maintain strong relationships with internal teams and external clients