Noda is a data and analytics company for the commercial built environment. We reimagine how modern buildings operate — because a better world needs better buildings. Better buildings are more efficient, more sustainable, and more resilient. They are intelligent, autonomous ecosystems that anticipate and adapt, seamlessly.

With commercial building operations accounting for nearly 30% of global emissions, we’re on a mission to turn buildings into a force for positive change, powering a more efficient, more sustainable world. We do this with smart software, careful use of modern artificial intelligence, sophisticated data models, and custom interfaces to building systems – and a lot of in-depth knowledge about how commercial buildings actually run.

We’re a young, nimble company where we very much value creative thinking, a love of team work, and a determination to solve the problem, whatever it is. Priorities can shift fast, so adaptability and flexibility come with the territory. The consequence is that you’ll have a chance to make a real impact, backed by a supportive team.

About the Role

Noda is looking for a Senior Data Scientist to join our product development team in Ottawa, Canada. This role is critical to Noda’s mission to automate energy efficiency for buildings – we seek someone capable of setting technical strategy across data science, machine learning and generative AI, and then executing on the strategy in collaboration with a multi-disciplinary team. Your work will be at the core of what we do.

The position will be based out of our Ottawa office, with flexibility to work in a hybrid arrangement.

What you’ll be doing

In this role, you will:

• Prototype AI/ML models and core product features to drive significant energy savings, improve user experience, and increase Noda’s operational efficiency.
• Work hand-in-hand with our software and data engineers to productionalize models, ensuring scalability, reliability and maintainability.
• Collaborate across the team to build a strong ML/AI platform, including scalable data pipelines and infrastructure for prototyping and production environments.
• Participate in and further develop Noda’s rhythm of rapid prototyping, iteration and continuous optimization.
• Ensure models are accurate, efficient and scalable across diverse data sources and building types.
• Implement automated monitoring, retraining, and performance optimization processes.
• Provide technical leadership and mentorship across a broader team of data scientists, analysts and engineers at Noda, driving technical excellence and best practices.

What you will need

• Masters-level qualifications in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Engineering or a related field. PhD is a plus.
• Five years of experience in data science, machine learning, or AI, including responsibility for deploying models in production.
• Experience working with time series data, multiple forms of regression analysis, models of periodicity, anomaly detection and forecasting.
• Ability to customize modern LLM-based generative AI systems via retrieval configuration and or specialized training.
• High level of expertise in Python and frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost.
• Hands-on experience with modern data warehouse systems (Snowflake, Databricks, BigQuery, etc) and parallel scalability for operating on them.
• Familiarity with public cloud platforms in general (AWS, Azure, or GCP), and at least one platform-specific set of data and data science specialized services.
• Strong communication and collaboration skills, with a team-oriented mindset.
• Strong ability to translate technical findings into actionable business insights.
• Experience working in a startup environment or a fast-paced, agile team.

What will make you stand out

• Experience creating domain-specific SLMs.
• Multiobjective optimization and constraint modeling.
• Substantial software engineering output in Python or JavaScript/TypeScript.
• Familiarily with containerized software deployment, preferably Kubenetes, in the context of MLops.
• Ability to connect machine learning with formal ontologies.
• Experience with energy modeling, HVAC systems, or building system operations.

Why we think you’ll love it here

• Purpose and Impact: Play a part in making buildings more sustainable, directly influencing our planet’s future.
• Career Growth: Work under the guidance of our Director of Cloud and System Architecture, with opportunities to expand your skill set and assume greater responsibility.
• Flexibility: We offer a hybrid-friendly environment, combining remote flexibility with in-person collaboration in our Ottawa office.
• Competitive Compensation: You’ll receive a compelling salary, healthcare and dental benefits, a retirement savings plan, plus equity participation.
• Collaborative Culture: Join an inclusive, innovative team that values curiosity, problem-solving, and continuous learning.
• Personal Development: Take advantage of paid personal development days to explore new technologies or deepen your expertise.

At Noda, we value diverse perspectives and believe great ideas come from people of all backgrounds. If you're excited about this role but don’t meet every requirement, we encourage you to apply—we’d love to hear from you!

And finally: we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, please do speak to our recruitment team, who will be happy to support you.

Department

Tech

Locations

Canada

Remote status

Hybrid