Opportunity Description
Matrix IFS is looking for a Data Scientist, the job involves working with client data to develop and implement fraud detection models, which includes data cleaning, feature engineering, and model tuning. Responsibilities also include collaborating with clients and internal teams, communicating findings, and contributing to product development by creating scalable data pipelines and improving processes.
Key skills required are proficiency in Python (including libraries like NumPy, Pandas, and scikit-learn), machine learning, distributed computing (like PySpark), and strong communication abilities.
Core responsibilities
- Data analysis and modeling: Understand client data, perform data cleaning and preprocessing, and develop and tune machine learning models.
- Collaboration: Work with internal teams (Product, Research) and external stakeholders (clients) to understand business objectives and ensure client success.
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