Senior Data Scientist: AI, ML & Big Data Innovator

BMO U.S.; United States; On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Retirement savings plans

Job summary

BMO U.S. is seeking a seasoned data analytics professional to design, implement, and scale advanced analytical solutions.

You will mine large datasets, build predictive models, and collaborate with product teams to turn insights into smarter business decisions. The role emphasizes ethical data practices, big data engineering, and communicating complex findings clearly to leadership, with a focus on driving customer experience and productivity across the bank.

Qualifications

• Mathematics, statistics & operations research skills at an intermediate level.
• Experience with deep learning and machine learning.
• Awareness of trust, bias, ethics in data science.
• Creative and critical thinking for analytics approaches.
• Proficiency with big data, data visualization, and data preprocessing.

Responsibilities

• Mine and analyze large information sets to discover patterns and insights.
• Develop predictive models and machine learning solutions to inform decisions.
• Collaborate with product and analytics teams to scale analyses into mature solutions.
• Apply risk management and ethics guidelines in data projects.
• Communicate findings effectively to business leaders to support decisions.

Skills

Mathematics & statistics

Deep learning

Machine learning

Trust, bias and ethics

Creative thinking

Critical thinking

Big data

Data visualization

Computational thinking

Programming

Data wrangling

Data preprocessing

Verbal & written communication

Collaboration & teamwork

Analytical & problem solving

Influence

Data driven decision making

Education

Post-secondary degree in related field

Equivalent combination of education and experience

Job description

BMO U.S. is seeking a seasoned data analytics professional to design, implement, and scale advanced analytical solutions.

You will mine large datasets, build predictive models, and collaborate with product teams to turn insights into smarter business decisions. The role emphasizes ethical data practices, big data engineering, and communicating complex findings clearly to leadership, with a focus on driving customer experience and productivity across the bank.