Data Scientist

Position Overview
Join the Digital Brain team to drive data-driven insights and develop intelligent solutions that transform mobility and AI applications in Malta. You will turn complex datasets into actionable intelligence and predictive models to solve real-world transportation challenges.

Key Responsibilities

• Analyze large datasets from traffic, parking, and mobility systems to extract meaningful insights

• Develop and implement machine learning models for predictive analytics and pattern recognition

• Build data pipelines and automated workflows for real-time data processing

• Design statistical models to optimize traffic flow and parking allocation algorithms

• Collaborate with AI engineers and developers to integrate models into production systems

• Design and conduct A/B tests to validate model performance and business impact

• Create data visualizations and reports to communicate findings to stakeholders

• Research and apply cutting-edge AI/ML techniques for smart city applications

• Work with clients to understand business requirements and translate them into data science solutions

Required Qualifications

• 3+ years of experience in data science or related analytical roles

• Strong proficiency in Python and libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn

• Experience with machine learning algorithms (supervised, unsupervised, reinforcement learning)

• Solid understanding of statistics, probability, and experimental design

• Proficiency in SQL and database querying for data extraction and analysis

• Knowledge of data preprocessing, feature engineering, and model evaluation

• Strong skills in data visualization

• Excellent analytical thinking and problem-solving abilities

• Effective communication skills to present technical findings to non-technical stakeholders

Preferred Qualifications

• Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or related field

• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)

• Knowledge of time series analysis and forecasting

• Experience with geospatial data analysis and GIS tools

• Familiarity with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP)

• Experience with MLOps and model deployment pipelines

• Understanding of traffic engineering, urban planning, or transportation systems

• Experience with IoT sensor data and real-time streaming analytics

• Knowledge of computer vision techniques for traffic and mobility applications

What We Offer

• Opportunity to work on innovative AI and smart city solutions impacting daily life in Malta

• Access to diverse datasets and cutting-edge technology stack

• Collaborative environment with AI researchers and engineers

• Professional development opportunities and conference attendance

• Competitive salary and comprehensive benefits

• Flexible working arrangements and a continuous learning culture