Senior Data Scientist

NODA Digital Agency

NODA is an innovative company committed to transforming the operation of modern buildings for a sustainable future. As commercial buildings account for a significant portion of global emissions, NODA utilizes cutting-edge AI and data science to boost efficiency and sustainability. The company offers an exciting environment for creative problem solvers who thrive in dynamic settings.

In this role you can expect to have the responsibilities:

• Prototype AI/ML models and key product features focused on energy savings and efficiency.
• Collaborate with software and data engineers to productionalize scalable models.
• Develop and optimize scalable data pipelines and ML/AI platform infrastructure.
• Engage in rapid prototyping and model optimization processes.
• Lead technical mentorship and ensure model accuracy and scalability.
• Implement automated monitoring and performance optimization techniques.

This role comes with the following benefits:

• Purposeful impact on sustainable building operations.
• Career growth with guidance from the Director of Cloud and System Architecture.
• Hybrid work environment providing flexibility.
• Competitive salary with healthcare, dental, and retirement plan benefits.
• Equity participation.
• Inclusive and innovative team culture.
• Paid personal development days.

This role requires you to have:

• Masters-level qualifications in Data Science or related fields.
• Five years of experience with data science, machine learning, and AI.
• Expertise in Python and frameworks like TensorFlow and PyTorch.
• Experience with modern data warehouse systems.
• Strong communication and teamwork skills.

You would benefit from having:

• Experience creating domain-specific models.
• Multiobjective optimization and constraint modeling.
• Knowledge of Kubernetes for MLops.
• Experience in energy modeling or building systems operations.

NODA embraces diverse perspectives and encourages applications from all backgrounds, even if not all qualifications are met.