[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.ResponsibilitiesApply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impactOwn the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvementDiagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operationsUse strong programming skills to prepare complex datasets (structured, semi‑structured, unstructured) and build reproducible pipelinesTranslate complex analytical findings into clear, actionable insights that influence decision‑making at all levelsPresent recommendations in a compelling narrative that resonates with both technical and non‑technical stakeholdersLead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategyDrive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assetsEstablish and promote best practices in model development, MLOps, governance, and data qualityStay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organizationServe as a subject matter expert for stakeholders across the enterprisePartner with cross‑functional teams—including Engineering, Product, and Business—to deliver solutions that scaleLead or contribute to strategic initiatives, roadmaps, and business cases that support the organization’s data and AI visionMentor and guide other data scientists; contribute to internal training, tools, and knowledge‑sharingManage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniquesLead change management and communication efforts associated with analytics initiativesImplement processes and controls that ensure high‑quality, consistent delivery of analytical workSkills7+ years of relevant experience in data science, machine learning, or applied analyticsAdvanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field—or equivalent experienceProven track record of shipping models to production and maintaining them at scaleExpertise in machine learning and deep learning algorithms and frameworksProficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plusExperience 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 groupsDemonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problemsExperienced collaborator with deep cross-functional partnership skills and ownership mindsetBenefitsPerformance-based incentivesDiscretionary bonusesHealth insuranceTuition reimbursementAccident and life insuranceRetirement savings plansIn-depth training and coachingManager support and network-building opportunitiesCompany OverviewWe’re a bank, but there’s more to it than that. ​ When you join BMO, it opens a world of opportunities. It was founded in 1817, and is headquartered in Toronto, Ontario, CAN, with a workforce of 10001+ employees. Its website is http://www.bmo.com.Company H1B SponsorshipBMO has a track record of offering H1B sponsorships, with 3 in 2026, 7 in 2025, 2 in 2024, 6 in 2023, 4 in 2022, 2 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.