Data Scientist Senior

NTT; Cosenza; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading data services company in Cosenza is seeking a Senior Data Scientist with a strong background in Python and SQL. The ideal candidate will lead projects and collaborate with various stakeholders while focusing on Generative AI and machine learning methodologies. Responsibilities include overseeing all phases of data science projects and developing innovative solutions for business needs.

Competenze

• 3-5 years of experience as a data scientist.
• Strong coding skills in Python and SQL are mandatory.
• Knowledge of Java, Scala, C++, or R is a plus.

Mansioni

• Lead projects and ensure tasks are executed on time.
• Work collaboratively with internal and external stakeholders.
• Own the execution of data science projects from start to finish.

Conoscenze

Python

SQL

Generative AI

Machine Learning

Deep Learning

Cloud ML

Computer Vision

Strumenti

TensorFlow

PyTorch

Azure

GCP

Descrizione del lavoro

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Responsibilities

The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skills including Generative AI hands-on capability (preferably on Azure/GCP and on-premise) engineering best practices, statistical expertise, Machine and Deep Learning skills and a strong business sense.

The Senior Data Scientist will work with fellow data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from other internal groups and from external clients.

He/She will be responsible for multiple projects, leading the Data Scientists and connecting with the stakeholders on client?s side, to ensure that tasks are on time and well executed.

Required Skills

• Experience of at least 3-5 years as data scientist;
• Strong Python (mandatory) and SQL coding;
• Knowledge of Java/Scala or C++/R is a plus;
• Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions;
• Knowledge of ML solutions architecture and Generative AI pipelines;
• Cloud and hybrid ML implementations;
• Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue;
• Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment;
• Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;
• Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings;
• Establish and maintain strong relationships with internal team members and external clients