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 Num Py, Pandas, and scikit-learn), machine learning, distributed computing (like Py Spark), and strong communication abilities.Data analysis and modeling: Understand client data, perform data cleaning and preprocessing, and develop and tune machine learning models.Provide technical guidance, drive project execution, and contribute to building scalable data pipelines and prototypes.Strong proficiency in Python, including scientific stack libraries (Num Py, Pandas, Sci Py, scikit-learn) and experience with distributed ...