Job Description & How to Apply Below
Join BMO’s dynamic team as a Senior Data Scientist in a 12-month hybrid role located in Toronto. This position will focus on machine learning projects that transform data into actionable insights.
In this Senior Data Scientist role, you will engage in advanced analytical processes, using deep learning and artificial intelligence to drive productivity and improve customer engagement. You’ll work collaboratively with other analytics professionals to refine and implement robust solutions that correlate data insights with business goals. Your expertise will be critical in shaping innovative strategies to address various complexities and market challenges.
Key Responsibilities:
• Design processes to model and analyze data
• Conduct large-scale data analysis for trends
• Collaborate on data-driven decision-making processes
• Implement strategies to optimize customer experience
• Use algorithms for predictive modeling
Requirements:
• At least 7 years in data science field
• Strong programming in Python or SAS
• Experience with SQL and Big Data technologies
• Familiarity with cloud-based environments
• Proven track record in data pipeline automation
Enhance BMO's analytical capabilities by driving strategic data initiatives.
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