Data Scientist
$82,800–$154,800 year
HybridToronto, Ontario, Canada
Job Summary
Mine and analyze large sets of structured and unstructured data using advanced analytical algorithms, machine learning, and deep learning to obtain insights and design predictive models. Develop new processes for modeling data and construct solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborate with data engineers to perform data ETL, work with product teams to understand data-driven decision-making, and investigate additional technologies for innovative data solutions. Conduct large-scale analysis to discover patterns and trends, providing recommendations to business leaders while exercising judgment to solve problems within the Risk Management Framework.
Required Qualifications
- Intermediate level of proficiency: Mathematics, statistics & operations research
- Deep learning
- Trust, bias and ethics
- Creative thinking
- Critical thinking
- Fluent in SQL and Python
- Solid knowledge and understanding of machine learning algorithms
- Experience in Exploratory data analysis including feature engineering, data manipulation (required python packages: Pandas, Numpy, Scipy)
- Experience in building traditional machine learning models, i.e. classification, regression, clustering using Sklearn and other Python packages
- Big data
- Data visualization
- Computational thinking and programming
- Data wrangling
- Data preprocessing
- Creative reasoning
- Verbal & written communication skills
- Collaboration & team skills
- Analytical and problem solving skills
- Influence skills
- Data driven decision making
- Typically between 5 - 7 years of relevant experience and post-secondary degree in Computer Science, Computer Engineering or related field of study or an equivalent combination of education and experience
- Deep knowledge and technical proficiency gained through extensive education and business experience
- Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations
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