Senior Data Scientist
Senior Data Scientist
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Job Description
Tech companies are hiring in Ottawa! If youre looking for your next opportunity in tech Work in Ottawa can help you build a thriving career in the fastgrowing technology industry in Canadas capital.
As an initiative of the citys economic development agency Invest Ottawa Work in Ottawa helps tech firms fill open positions quickly so they can grow and scale faster
We are excited to partner with Nodaon their search forSenior Data Scientist.
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 were 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 indepth knowledge about how commercial buildings actually run.
Were 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 youll 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 Nodas 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 multidisciplinary 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 youll 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 Nodas operational efficiency.
- Work handinhand 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 Nodas 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
- Masterslevel 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 LLMbased generative AI systems via retrieval configuration and or specialized training.
- High level of expertise in Python and frameworks like TensorFlow PyTorch Scikitlearn or XGBoost.
- Handson 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 platformspecific set of data and data science specialized services.
- Strong communication and collaboration skills with a teamoriented mindset.
- Strong ability to translate technical findings into actionable business insights.
- Experience working in a startup environment or a fastpaced agile team.
What will make you stand out
- Experience creating domainspecific 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 youll love it here
- Purpose and Impact: Play a part in making buildings more sustainable directly influencing our planets 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 hybridfriendly environment combining remote flexibility with inperson collaboration in our Ottawa office.
- Competitive Compensation: Youll 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 problemsolving 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 youre excited about this role but dont meet every requirement we encourage you to applywed love to hear from you!
Work in Ottawa utilizes a secure closed AI environment for the initial screening of resumes ensuring your data remains safe while helping us efficiently identify top candidates. We encourage all applicants to apply even if you do not meet every requirement if you possess relevant skills enthusiasm and eagerness to grow we want to hear from you! To enhance your visibility consider including relevant keywords in your resume.
If you require any accommodation during the hiring process please reach out to
Employment Type
Full Time
