Data Scientist - Artificial Intelligence

IBM; Campania; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading tech company in Campania is looking for a Data Scientist with a minimum of 2 years' experience in AI-related projects. The role involves collaborating with teams to develop machine learning models and enhancing data-driven solutions. Candidates should have a Bachelor's Degree and familiarity with data analysis tools like SQL and Python. Opportunities for ongoing learning and career growth are provided, along with a dynamic work environment.

Competenze

• Minimum 2 years working as a data scientist with AI project experience.
• Familiarity with machine learning concepts through coursework.
• Basic programming skills in SQL, Python, or R.

Mansioni

• Collaborate with team members to tackle data-driven challenges.
• Develop machine learning models and analytical solutions.
• Document technical requirements for data-driven solutions.

Conoscenze

Data analysis

Machine learning

SQL

Python

Statistical modeling

Formazione

Bachelor’s Degree in data science or related field

Descrizione del lavoro

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 by 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 groundbreaking 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