Principal Data Scientist

Salary: $121000 - 225000 per year Requirements: Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or a related quantitative discipline. Over 5 years of experience in data science. Strong expertise in machine learning and deep learning techniques, including but not limited to XGboosting, LSTM, and LLM. Proficient in data visualization with strong communication capabilities. Self-motivated problem solver, capable of thriving in a fast-paced, ambiguous, and customer-centric environment. Highly analytical with technical proficiency and a quick aptitude for learning new tools and ML models. Knowledge of trust, bias, and ethical considerations in data science. Excellent collaboration and teamworking abilities, emphasizing cross-functional teamwork. Comfortable managing ambiguity in projects. Committed to data-driven decision-making processes. Experience with GenAI LLM models. Background in MLOps, creating workflows for model retraining, monitoring, and deployment. Familiarity with ML frameworks such as TensorFlow and PyTorch. Knowledge of cloud-based data platforms like AWS or Azure. Experience with data visualization tools such as Power BI. Responsibilities: Utilize advanced analytical algorithms and technologies (e.g., machine learning, deep learning) to extract insights from large datasets. Create and design new data modeling processes. Develop predictive models and utilize big data technologies to provide effective business solutions. Work collaboratively with data and analytics professionals to refine and enhance analytics solutions. Play an active role in the visualization of data and the implementation of innovative data strategies to identify consumer trends and resolve business challenges. Collaborate with product teams and partners to support data-driven decision-making and strategic planning. Engage with data scientists and other stakeholders to ascertain data and modeling requirements and create fulfilling solutions. Construct, manage, and sustain extensive data pipelines for reporting, analysis, and application of machine learning/deep learning models. Conduct comprehensive analyses to unearth patterns and trends by integrating different data modules and algorithms. Investigate and adopt new technologies for creating cutting-edge data solutions for business stakeholders. Provide strategic recommendations and insights to business leaders to enhance market competitiveness. Cultivate a work environment that aligns with our organizational values and promotes diversity and inclusion. Regularly link work objectives with our organizational purpose, setting inspiring targets, clarifying expected results, and ensuring accountability for results. Technologies: AWS Azure Big Data Cloud Support LLM Machine Learning Network Power BI PyTorch TensorFlow More: At BMO, we are on a mission to positively impact our customers, communities, and employees by boldly growing the good in business and life. We believe in creating lasting, transformative change through collaboration, innovation, and pushing boundaries. As a member of our team, youll be valued, respected, and heard, with abundant opportunities to grow and make a meaningful impact. We offer extensive support, including tools and resources to help you achieve your goals from day one. Youll benefit from comprehensive training, encouragement from management, and chances to build your professional network. We prioritize inclusivity and accessibility, learning from each others differences to strengthen our perspectives and capabilities. We are committed to ensuring that accommodations are available upon request for candidates throughout the hiring process. last updated 28 week of 2026