Principal Data Scientist, Quantitative Analysis and Strategy

BMO • Chicago, IL

91d • $122,400 - $228,000

About The Position

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs. Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine learning/deep learning models. Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. Uses analysis to provide recommendations and advice for business leaders to maintain market competitiveness. Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do. Ensures alignment between values and behaviours that fosters diversity and inclusion. Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Requirements

• Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
• 5+ years of data science experience.
• In-depth knowledge in machine learning and deep learning models.
• Data visualization and polished communication skills.
• Self-driven problem solver; able to adapt and thrive in a dynamic environment.
• Highly analytical and technically proficient.
• Experience with GenAI LLM models.
• Experience with MLOps, building workflows for model retraining.
• Experience with ML frameworks such as TensorFlow, PyTorch.
• Experience with cloud-based data platforms such as AWS or Azure.
• Experience with data visualization tools such as Power BI.

Responsibilities

• Uses advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data.
• Designs and constructs new processes for modeling data.
• Develops predictive models and leverages big data technology.
• Collaborates with data and analytics professionals to optimize and scale analysis.
• Plays an active role in the advancement of innovative data strategies.
• Collaborates with product teams to provide data-driven decision making.
• Designs, builds, and maintains large-scale data pipelines.
• Conducts large-scale analysis to discover patterns and trends.
• Develops machine learning/deep learning models.
• Investigates additional technologies for innovative data solutions.
• Provides recommendations and advice for business leaders.

Benefits

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees