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Machine Learning/Ai Data Scientist
Company | BMO |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-09-20 |
Posted at | 8 months ago |
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.
Qualifications:
- Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
- Works independently and regularly handles non-routine situations.
- Exercises judgment to identify, diagnose, and solve problems within given rules.
- Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
- Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
- Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
- Uses 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.
- Broader work or accountabilities may be assigned as needed.
- Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
- Provides specialized consulting, analytical and technical support.
- Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
Qualifications:
- Data wrangling.
- Big data.
- Trust, bias and ethics.
- Creative thinking.
- Collaboration & team skills.
- Data driven decision making.
- Influence skills.
- Data preprocessing.
- Mathematics, statistics & operations research.
- Deep knowledge and technical proficiency gained through extensive education and business experience.
- Creative reasoning.
- Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
- Data visualization.
- Verbal & written communication skills.
- Deep learning.
- Critical thinking. Advanced level of proficiency:
- Computational thinking and programming.
- Machine learning.
- Analytical and problem solving skills.
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