Machine Learning 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source plant and hardscape materials through a B2B marketplace that simplifies procurement in a traditionally outdated industry.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... Share your ideas and actually see them come to life Grow with us through learning & promotion opportunities ️ Enjoy solid health benefits & time off (3 weeks + 1 week during the holiday break) Get a piece of the pie with equity after your first year 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! Originally posted on Himalayas