[Remote] Data scientist

Note: The job is a remote job and is open to candidates in USA. Matrix IFS is seeking a Data Scientist to develop and implement fraud detection models using client data. The role includes data analysis, collaboration with clients and internal teams, technical guidance, scalable data pipeline development, product improvements, and communicating findings.

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
• Technical leadership: Provide technical guidance, drive project execution, and contribute to building scalable data pipelines and prototypes
• Product development: Help improve the product by contributing to solution development, keeping up with fraud prevention trends, and creating generalized product enhancements
• Communication: Clearly communicate complex findings and strategies to both technical and non-technical audiences

Skills

• Strong proficiency in Python, including scientific stack libraries (NumPy, Pandas, SciPy, scikit-learn) and experience with distributed computing tools like PySpark
• Expertise in machine learning concepts and algorithms
• Experience with data cleaning, feature engineering, and building scalable data pipelines (e.g., with Airflow and Trino)
• Excellent verbal and written communication skills to explain complex ideas to various stakeholders
• Strong analytical and problem-solving skills to tackle complex financial crime challenges
• A degree in a quantitative field like Computer Science, Statistics, Applied Mathematics, or a related area is often required

Benefits

• Remote work arrangement

Company Overview

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