Data Scientist

Posted 2024-11-07

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💎 Seniority level: Middle, 2 to 3 years

📍 Location: Canada, United States

🔍 Industry: Financial Services

🏢 Company: MagicPace

🗣️ Languages: English

⏳ Experience: 2 to 3 years

🪄 Skills: PythonSQLArtificial IntelligenceKerasMachine LearningPyTorchStrategyAlgorithmsData scienceNosqlTensorflowCommunication SkillsWritten communicationDocumentation

Requirements:

Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required; Master's degree preferred.
2-3 years of relevant experience in building and implementing machine learning models.
Excellent knowledge of machine learning and statistical modeling methods.
Strong programming skills in Python and familiarity with libraries such as sklearn, lightgbm, xgboost, pytorch, tensorflow, keras.
Knowledge of databases and tools like SQL, NoSQL, and Hive.
Effective communication skills.

Responsibilities:

Develop, implement, and improve machine learning models for credit, risk, and operational procedures including underwriting and fraud detection.
Identify opportunities to use advanced machine learning techniques to address business challenges.
Collaborate with Risk Management to ensure models meet governance standards, and work with Product and Engineering on model deployment.
Monitor model performance and present insights to leaders.

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