Data Scientist role at Interac Corp. in Toronto, responsible for collaborating with fraud product owners and software developers, conducting end-to-end analysis, and researching and developing strategies to improve current fraud-related deliverables.
Requirements
- Degree in Business, Mathematics, Science, Statistics or equivalent combination of education and industry experience.
- 3 or more years of experience in the financial industry.
- 3 years or more of experience in data analytics.
- 2 years or more of experience using machine learning.
- Strong knowledge and skills in mathematics.
- Strong sense of planning, priority setting, problem resolution and decision making.
- Knowledge of Interac products.
- Expert knowledge of data mining, databases, SQL and machine learning.
- Experience with Oracle, HDFS, Redshift, Spark (PySpark), Python, Cloudera, Jupyter, Github, and AWS.
- Knowledge of the Canadian payment industry, payments transaction data and process flows, and IT processes and infrastructure required to support analytics.
- Significant experience working with implementing concepts, such as predictive modeling, profiling, feature development, behavioral analysis, clustering, and data mining.
- Excellent inter-personal skills, communication, problem solving, conflict management, client-focused, customer-driven and able to work under pressure.
- Eligibility to work for Interac Corp. in Canada in a full-time capacity.
Benefits
- Generous vacation and wellness days
- Comprehensive employer-paid benefits coverage
- Market-leading employer-funded RRSP program
- Flexible hybrid work model
- Access to a free and confidential 24/7 employee & family assistance program
- Pregnancy and parental leave top-up
- Charitable donation matching with United Way