Become a Lead Data Scientist at BMO Financial Group in Toronto, utilizing your extensive machine learning and software engineering expertise. This hybrid role offers the chance to create and deploy innovative ML solutions for real-world applications. As a technical leader, you'll challenge the norm by analyzing large datasets and building enterprise-grade models.

Your collaboration with various teams will enhance analytical capabilities, while your mentorship will elevate the team's adherence to software engineering best practices. Drive impactful change through advanced data insights. Key Responsibilities:

- Implement and scale production-grade machine learning models
- Collaborate with teams to refine analytical processes




- Lead technical reviews and foster code quality standards
- Mentor fellow data scientists in best practices
- Seek out and integrate new technologies for data solutions Requirements:
- 5-7 years in relevant data science roles
- Extensive experience with Python and algorithms
- Proficient with Git and cooperative development
- Familiarity with AWS and machine learning platforms is desirable
- Advanced degree in a related field is advantageous Push the boundaries of data science at BMO, bringing deep insights to business challenges.

📌 Lead Data Scientist with BMO Financial Group (Toronto)
🏢 Bank of Montreal
📍 Toronto