Data Scientist for NATO

Wlgroup; La Spezia; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

An established international intergovernmental organization is seeking a data analyst to analyze complex data sets and develop predictive models. The ideal candidate will hold a bachelor’s degree in a relevant field and possess at least three years of experience in statistical analysis and machine learning. Strong proficiency in data tools such as R, Python, and SQL is required. You should have experience with Agile methodologies and a good grasp of data security and management principles. This is a great opportunity to contribute to meaningful projects in a collaborative environment.

Competenze

• At least 2 years of post-degree experience in a relevant field.
• 3+ years of experience with statistical analysis and machine learning.
• Strong foundation in statistical methods and data mining techniques.
• Proficient in data manipulation and analysis using R, Python, SQL.
• Experience with agile methodologies and collaboration tools.
• Understanding of data security and data management practices.
• Good level of spoken and written English.

Mansioni

• Analyze and visualize complex data sets to identify trends.
• Develop predictive models and algorithms for data-driven decision-making.

Conoscenze

Statistical Analysis

Machine Learning

Data Analysis

R programming

Python

SQL

Agile/Scrum

Data Visualization

Cloud Services

Data Security

Formazione

Bachelor's degree in information systems, physics, or electronics

Strumenti

Tableau

Power BI

PyTorch

TensorFlow

Keras

AzureDevOps

JIRA

GitHub

GitLab

Descrizione del lavoro

Would you like to join the leading international intergovernmental organization? The Centre for Maritime Research and Experimentation (CMRE) is an established, world-class scientific research and experimentation facility that organizes and conductsscientific researchand technology development centred on the maritime domain. It delivers innovative and field-tested science and technology (S&T)solutions to address defence and security needsof the Alliance.

Responsibilities

• Analyze and interpret and visualize complex data sets to identify trends, patterns, and actionable insights
• Develop predictive models and algorithms to solve business problems and implement data-driven decision-making

Essential Qualifications & Experience

• A minimum requirement of a bachelor’s degree at a nationally recognised/certified University in an information systems, physics or electronics related scientific or engineering discipline, or other relevant scientific discipline, and 2 years post-related experience.
• A minimum of 3 years of professional with Statistical Analysis and Machine Learning, with strong foundation in statistical methods, machine learning algorithms, and data mining techniques, with practical experience in applying them to real-world problems.
• Strong mathematical background with solid understanding of linear algebra, calculus, and probability theory to support model development and evaluation.
• Proficiency in data analysis tools with expertise in R, Python, or SQL for data manipulation, analysis, and visualization and relative libraries such as PyTorch, TensorFlow, Keras, etc. Experience with data visualization tools with ability to use tools like Tableau, Power BI, or Matplotlib to create insightful visualizations
• Professional experience with Agile/Scrum methodologies, Git workflows, code review processes, and collaboration tools (AzureDevOps, JIRA, GitHub, GitLab, etc.)
• Understanding of cloud services and infrastructure provided by one or more major Cloud vendor, including data storage and processing capabilities
• Understanding of data security data protection aspects
• Professional experience of implementing Findable, Accessible, Interoperable, and Reusable (FAIR) principles in data management practices and understanding of Data Mesh architecture
• Good level of spoken and written English

If you've read the description and feel this role is a great match, we'd love to hear from you! Click "Apply for this job" to be directed to a brief questionnaire. It should only take a few moments to complete, and we'll be in touch promptly if your experience aligns with our needs.