Job Description

Principal Data Scientist, Quantitative Analysis and Strategy

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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 leaning/deep leaning 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 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 BMOs purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Qualifications

• 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, such as but not limited to XGBoost, LSTM and LLM.
• Data visualization and polished communication skills.
• Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
• Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
• Commitment to trust, bias and ethics.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data-driven decision making.
• Experience with GenAI LLM models.
• Experience with MLOps, building workflows for model retraining, monitoring and deploying.
• 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.

Salary

$122,400.00 - $228,000.00

Pay Type

Salaried

The above represents BMO Financial Groups pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Groups expected target for the first year in this position.

BMO Financial Groups total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one for yourself and our customers. Well support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, well help you gain valuable experience, and broaden your skillset.

To find out more visit us at

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Job Details

• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Banking

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