For our business partner, one of the largest integrator 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 the 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 analysis to support decisions strategic of the company.
Requirements:
- 5+ years of professional experience in 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 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
