Data Scientist Senior

NTT DATA; Taverne; In loco; EUR 55.000 - 85.000; Tempo pieno

Descrizione del lavoro

A leading company in data solutions is seeking a Senior Data Scientist to enhance their team. The role involves utilizing advanced technologies including Generative AI, managing projects, and collaborating with various teams to drive success. Ideal candidates will possess strong programming skills and a Bachelor’s degree in a related field.

Competenze

• 3-5 years of experience as a data scientist.
• Proficiency in Python and SQL is mandatory.
• Experience with TensorFlow and PyTorch is essential.

Mansioni

• Manage multiple projects and lead data science teams.
• Collaborate with internal and external stakeholders.
• Develop production-ready pipelines with data engineers.

Conoscenze

Python

SQL

Generative AI

Machine Learning

Deep Learning

Cloud ML Implementations

Computer Vision

Statistical Expertise

Leadership

Descrizione del lavoro

The ideal candidate for the Senior Data Scientist role 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 strong Machine Learning and Deep Learning skills. A solid business sense is also essential.

The Senior Data Scientist will collaborate with data scientists, data engineers, ML engineers, product managers, business analysts, and stakeholders both internally and externally.

They will be responsible for managing multiple projects, leading data science teams, and liaising with client stakeholders to ensure timely and effective project execution.

Required Skills

• 3-5 years of experience 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 cutting-edge business intelligence, machine learning, and alternative data practices to enhance organizational efficiency and revenue
• Ownership of end-to-end data science project lifecycle, from data wrangling to deployment
• Collaboration with data engineers to develop production-ready pipelines, including data ingestion, cleaning, feature engineering, and model training / prediction
• Research and analysis into reinsurance and advisory products to improve industry models and develop new market offerings
• Establishing and maintaining strong relationships with internal teams and external clients

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