Senior Data Scientist for Business Intelligence

23 hours ago

Old Toronto, Ontario, Canada BMO Financial Group Full time
Senior Data Scientist for BI Project

We are seeking a highly skilled Senior Data Scientist to join our team in the position of Senior Data Scientist, Wealth Campaign Analytics. The successful candidate will be responsible for developing predictive models and leveraging big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.

Key Responsibilities:
  • Design and construct new processes for modeling data, developing predictive models, and leveraging big data technology to deliver actionable insights.
  • Collaborate with other data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions.
  • Play an active role in the futuristic display of data and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Use data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
  • Conduct large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Develop prediction systems and machine learning algorithms, investigating additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Manage and enhance daily/weekly/monthly campaign reporting to provide results and context to deliver actionable insights to senior management.
  • Produce dashboards, reports, analysis, and insights that drive decisions and help us build better campaigns and experiences.
Requirements:
  • 2-8+ years of data science/quantitative modeling experience.
  • Proficiency in SQL and Power BI, and a computing language such as Python.
  • Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation.
  • A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
  • Solid business acumen and experience in synthesizing complex analyses into actionable recommendations.
Preferred Qualifications:
  • Experience deploying models in production and adjusting model thresholds to improve performance.
  • A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research).

BMO Financial Group offers a total compensation package that includes performance-based incentives, discretionary bonuses, and other perks and rewards. We are committed to creating a diverse and inclusive work environment and welcome applications from qualified candidates from all backgrounds.

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