For our business partner, one of the largest integrators of IT and physical security solutions for national and European critical infrastructure, we are looking for a motivated Data Scientist to analyze large amounts of raw information to find patterns that will help improve business decision-making.

Responsibilities:

• Data collection and processing: extract and process data from various sources (APIs, databases, files) using Python, R, or other similar languages.
• Exploratory data analysis: identifies hidden trends and patterns in complex data sets, performing a detailed exploratory analysis. 
• Predictive Modeling: develop, validate, and optimize predictive and statistical models for solving business problems using machine learning techniques.
• Data presentation and visualization: create attractive and easy-to-understand visualizations with the help of tools like Tableau, Power BI, Matplotlib, Seaborn or ggplot2 to communicate analytical results to non-technical teams.
• Process optimization: automate data collection and analysis workflows,
  implementing efficient and scalable solutions.
• Cross-functional collaboration: works closely with engineering, marketing, sales teams, and other departments to understand requirements and provide data-driven solutions.
• Monitoring and reporting: Provide regular reports and analyses to support the decisions strategic of the company.

Requirements:

• 5+ years of professional experience as a Data Scientist or Data Analyst.
• Proficiency in Python or R for analysis and modeling.
• Experience with data processing tools (Pandas, Numpy in Python; dplyr, tidyverse in R).
• Knowledge of working with relational databases and NoSQL (SQL, MongoDB, etc.).
• Familiarity with machine learning techniques and associated packages (Scikit learn, TensorFlow). 
• Experience with visualization tools (Tableau, Power BI, Matplotlib, Seaborn, ggplot2).
• Proficiency in using data mining tools and APIs.
• Analytical mind and business acumen
• Problem-solving aptitude.
• Excellent communication and presentation skills.
• BSc/BA in Computer Science, Engineering, or relevant field.