Empresa:

Bandora

Descrição da Função

About Bandora:

At Bandora, we are shaping the future of building operations. Buildings are among the largest consumers of energy, accounting for nearly one-third of global CO2 emissions. Maintaining optimal indoor conditions in commercial buildings, especially those with multiple tenants, is a significant challenge. Bandora's cloud-based platform leverages real-time IoT data to provide intelligent dashboards, analytics, anomaly detection, and automation to eliminate energy waste and enhance occupant comfort. Our mission is to create autonomous, greener, and more comfortable buildings.

The Role:

As a Data Scientist, you will be crucial in ensuring project success by analysing complex datasets, developing cutting-edge models, and providing actionable insights. Your contributions will have a direct impact on how our cross-functional team makes decisions and innovates.

Key Responsibilities:

• Analyze complex datasets to uncover patterns and insights.
• Create clear and engaging data visualizations to effectively communicate findings.
• Develop, test, and optimize machine learning models.
• Assess model performance using historical data, simulations, and real-time production environments.
• Improve existing algorithms and create new proofs of concept for innovative solutions in collaboration with domain experts.
• Work with software engineering teams during deployment to put end-to-end solutions into production.
• Actively contribute to team discussions and data-driven decision-making.
• Document results, experiments, processes, methodologies, and interpretations in a structured and accessible manner.

Required Skills:

• MSc in Statistics, Mathematics, Computer Science, Data Science, or a related field.
• Strong analytical and problem-solving abilities, coupled with a proactive mindset.
• Good understanding of fundamentals of supervised and unsupervised learning (e.g. classification, deep learning, time series analysis, model optimization techniques, reinforcement learning, etc.). Demonstrated expertise in at least one of these areas.
• Expertise in designing, executing, and analyzing experiments following robust scientific methodologies to ensure reproducibility.
• Proficiency in Python and Git, and basic understanding of SQL and databases in general.
• Hands-on experience with relevant Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, SciPy, Scikit-learn, TensorFlow, Keras, etc.
• Ability to create insightful and interpretable data visualizations.
• Proficiency in English, both written and verbal.

Nice-to-Have:

• Proficiency in transfer learning techniques to boost model performance.
• Expertise in extracting structured data from unstructured formats, including PDF documents.
• Experience deploying machine learning models into production using MLOps tools such as DVC and MLFlow.
• Familiarity with Azure cloud services and big data technologies.

Why Join Us?

• This is an exciting opportunity to see your work making a real-world impact. You'll thrive in a collaborative and supportive environment, continuously grow your skills, and contribute to making the world a greener place.

Observações

Porto (Portugal)