Machine Learning Scientist / Data Scientist

Who we are: GoMaterials is one of Canada's fastest-growing companies, recognized by Deloitte, the Globe & Mail, and the Lazaridis Scaleup Program. We’re revolutionizing how landscape contractors source plant and hardscape materials through a B2B marketplace that simplifies procurement in a traditionally outdated industry
Since our inception, we have helped landscapers save time, money, and stress and plant over 1.5 million plants and trees. Led by a young and eager group of entrepreneurs, GoMaterials is aggressively expanding across North America. We are therefore looking for amazing people to add to our team!

What You’ll Do

• Collect, clean, and preprocess large datasets from various sources.
• Develop and implement predictive models and machine learning algorithms.
• Design and maintain the complete workflow of ML development process.
• Analyze data to identify trends, patterns, and opportunities for improvement.
• Collaborate with business stakeholders to understand their needs and translate them into analytical solutions.
• Communicate findings and insights through reports, dashboards, and visualizations.
• Conduct A/B testing and other experiments to validate model performance.
• Stay current with the latest developments in data science and machine learning.
• Document methodologies and maintain detailed records of analytical processes.

What You’ll Need

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience implementing AI/data science algorithms using one or more modern ML frameworks (e.g., Scikit-learn, PyTorch, LightGBM, XGBoost, etc.).
• Strong knowledge of statistical analysis, machine learning algorithms, and data mining techniques.
• Experience deploying machine learning models in production environments.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with code and data version control tools such as Git and DVC.
• Excellent analytical and problem-solving skills.
• Strong communication, collaboration, and presentation skills.
• Familiarity with agile development methodologies.
• Hands-on experience with cloud-based ML development platforms such as Vertex AI and Azure ML Studio/AI Foundry.

Preferred Qualifications

• Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience working on supply chain management-related application development.
• Experience with deep learning frameworks (e.g., TensorFlow, Keras).
• Knowledge of natural language processing (NLP) and computer vision.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.

From day one, you get to... \uD83D\uDCA1 Share your ideas and actually see them come to life \uD83C\uDF31 Grow with us through learning & promotion opportunities \uD83C\uDFDD️ Enjoy solid health benefits & time off (3 weeks + 1 week during the holiday break) \uD83D\uDCB0 Get a piece of the pie with equity after your first year \uD83C\uDF89 Work with a fun, tight-knit team that celebrates wins together. Want to learn more? Check out our culture code.

Ready to apply? If you think you’d be a great fit at our company and are passionate about this job, we want to hear from you!