Data Scientist - Artificial Intelligence

IBM; Napoli; In loco; EUR 30.000 - 45.000; Tempo pieno

Descrizione del lavoro

A global technology and consulting firm is seeking a Data Scientist to join their team in Napoli. The role involves collaboration on data-driven challenges, support for machine learning model development, and ensuring data consistency. Candidates should have at least two years of experience in AI projects and a Bachelor’s Degree in a relevant field. This position offers opportunities for growth and technical expertise in an innovative environment.

Competenze

• Minimum 2 years of experience as a data scientist.
• Focus on AI-related projects.
• Familiarity with machine learning concepts.

Mansioni

• Collaborate with team on data-driven challenges.
• Assist in developing machine learning models.
• Document technical requirements for data solutions.

Conoscenze

Data analysis

Machine learning

Statistical modeling

SQL

Python

R

Formazione

Bachelor's Degree in data science or related field

Descrizione del lavoro

Introduction

Introduction In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You\'ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you\'ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities

• Collaborate effectively with team members, both business and technical, to understand data-driven challenges and opportunities
• Maintain a strong focus on learning, quality, and continuous improvement
• Support the analysis and resolution of data inconsistencies and model performance issues
• Assist in developing and experimenting with machine learning models and analytical solutions to improve insights and decision-making
• Contribute to data preprocessing, feature engineering, and exploratory data analysis to enhance model performance
• Help document technical requirements and support the development of data-driven solutions

Preferred Education

Bachelor\'s Degree

Required Technical And Professional Expertise

• Minimum 2 years working as a data scientist with demonstrated involvement in AI-related projects
• Academic background in data science, statistics, computer science, or a related field
• Familiarity with machine learning concepts and statistical modeling techniques through coursework or academic projects
• Eagerness to learn and support technical teams in identifying and resolving data-related challenges
• Understanding of data modeling concepts and database principles
• Basic programming skills in SQL, Python, R or equivalent language for data analysis and model development
• Interest in obtaining relevant certifications in data science, machine learning, or cloud-based analytics platforms (e.g., AWS, Azure, GCP)

Preferred Technical And Professional Experience

• Agile mindset - willingness to learn, adapt to changing priorities, take initiative, and apply critical thinking

One Of The Following

• Basic understanding of data governance principles and best practices
• Exposure to data visualization and storytelling using analytical tools
• Familiarity with cloud-based machine learning concepts and model deployment basics
• Foundational knowledge of statistical analysis, machine learning algorithms, and data preprocessing techniques
• Availability to travel is required

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