Job Description & How to Apply Below
This role is perfect for candidates with 4-10 years of relevant experience. In this position, you will build and deploy machine learning models, perform in-depth analyses, and work with large data sets to identify actionable insights and predictive trends, particularly in fraud and transaction analytics.
Key Responsibilities:
• Build machine learning solutions to solve complex data problems
• Extract insights through exploratory data analysis
• Identify anomalies and trends in large datasets
• Collaborate across teams to meet business requirements
• Develop models for fraud detection and customer insights
Requirements:
• Minimum 4 years of experience with Python and SQL
• Solid grounding in statistical modeling and machine learning
• Practical knowledge of Tensor Flow, Num Py, and Pandas
• Familiar with AWS or GCP cloud platforms
• Background in financial services or risk modeling preferred
Utilize your expertise at Apexon to drive impactful data science initiatives in Toronto.
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Position Requirements
10+ Years
work experience
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