[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. BMO is a financial institution committed to creating positive change in business and life. They are seeking a Senior Data Scientist to drive the end-to-end delivery of Data & AI solutions, applying advanced analytics and machine learning to solve complex business challenges.

Responsibilities

• Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact
• Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement
• Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations
• Use strong programming skills to prepare complex datasets (structured, semi‑structured, unstructured) and build reproducible pipelines
• Translate complex analytical findings into clear, actionable insights that influence decision‑making at all levels
• Present recommendations in a compelling narrative that resonates with both technical and non‑technical stakeholders
• Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy
• Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets
• Establish and promote best practices in model development, MLOps, governance, and data quality
• Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization
• Serve as a subject matter expert for stakeholders across the enterprise
• Partner with cross‑functional teams—including Engineering, Product, and Business—to deliver solutions that scale
• Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization’s data and AI vision
• Mentor and guide other data scientists; contribute to internal training, tools, and knowledge‑sharing
• Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques
• Lead change management and communication efforts associated with analytics initiatives
• Implement processes and controls that ensure high‑quality, consistent delivery of analytical work

Skills

• 7+ years of relevant experience in data science, machine learning, or applied analytics
• Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field—or equivalent experience
• Proven track record of shipping models to production and maintaining them at scale
• Expertise in machine learning and deep learning algorithms and frameworks
• Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus
• Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.)
• Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups
• Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems
• Experienced collaborator with deep cross-functional partnership skills and ownership mindset

Benefits

• Performance-based incentives
• Discretionary bonuses
• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans
• In-depth training and coaching
• Manager support and network-building opportunities

Company Overview

Company H1B Sponsorship