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Senior Data Scientist
2 months ago
Senior Data Scientist, Wealth Data Science
We are seeking a talented and experienced Senior Data Scientist to join our team in the Wealth Data Science department. As a key member of our team, you will play a crucial role in leveraging data to make strategic business decisions, driving business growth, and improving customer experience.
About the Role:
- Design and construct new processes for modeling data, developing predictive models, and leveraging big data technology to deliver smarter business decisions.
- Collaborate with cross-functional 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, and investigate additional technologies and tools for developing innovative data solutions for business stakeholders.
Requirements:
- 2-8+ years of data science/quantitative modeling experience.
- Proficiency in SQL 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.
- Experience in working with cross-functional teams to deliver results.
- Ability to communicate results clearly and a focus on driving impact.
- 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.
- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs.
- Experience with distributed tools such as Spark, Hadoop, etc.
- A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research).
About BMO Financial Group:
BMO Financial Group is a leading financial institution with a commitment to innovation, customer satisfaction, and community involvement. We are driven by a shared purpose: Boldly Grow the Good in business and life. Our team is passionate about creating lasting, positive change for our customers, our communities, and our people.
What We Offer:
- A competitive salary and comprehensive benefits package.
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A commitment to diversity, equity, and inclusion.
