Fraud Analytics Data Scientist & ML Innovator

Kount; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a passionate Data Scientist to lead innovative solutions in fraud detection and prevention. This role offers the chance to work with cutting-edge technologies and collaborate with a dynamic team to create impactful analytical solutions. You will leverage your expertise in machine learning and data science to develop models that enhance security in the financial sector. Join a forward-thinking company dedicated to empowering Canadians to achieve their financial best while driving your career forward in a fast-paced environment.

Qualifications

• 3+ years of data science experience with expertise in Python, SQL, R, or SAS.
• Hands-on experience designing and implementing analytical fraud solutions.

Responsibilities

• Develop and implement advanced machine learning models for fraud detection.
• Analyze large datasets to identify patterns and indicators of fraudulent activity.

Skills

Python

SQL

R

SAS

Machine Learning Algorithms

Data Analysis

Statistical Techniques

Education

Bachelor's in Engineering

Bachelor's in Economics

Bachelor's in Mathematics

Bachelor's in Statistics

Bachelor's in Physics

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

Transformers

Job description

An established industry player is seeking a passionate Data Scientist to lead innovative solutions in fraud detection and prevention. This role offers the chance to work with cutting-edge technologies and collaborate with a dynamic team to create impactful analytical solutions. You will leverage your expertise in machine learning and data science to develop models that enhance security in the financial sector. Join a forward-thinking company dedicated to empowering Canadians to achieve their financial best while driving your career forward in a fast-paced environment.