Analyst-Data Science

Role Overview

Responsibilities

• Apply advanced machine learning techniques to develop next-generation models and support business growth.
• Conduct case reviews to improve model performance and decision-making processes.
• Collaborate with stakeholders to align analytical and modeling work with business objectives.
• Manage stakeholder expectations and communication throughout the project lifecycle.
• Review research papers and identify use cases that can enhance model development and innovation.

Minimum Qualifications

• Graduate or postgraduate degree in statistics, mathematics, economics, engineering, or management.
• At least 2 years of relevant CFR experience in analytical or modeling work.
• Proficiency in data analysis and programming languages such as Python, Hive, or PySpark.
• Strong coding skills and hands-on experience with advanced machine learning, deep learning, and AI algorithms.
• Familiarity with cloud computing platforms such as Google Cloud for model training.
• Experience handling large datasets and implementing data preprocessing techniques.
• Strong communication and presentation skills with the ability to explain complex technical concepts to nontechnical stakeholders.
• Ability to provide insight and sound judgment when addressing business challenges and opportunities.

Preferred Qualifications

• Knowledge of American Express platforms is preferred.
• Experience building and deploying models is preferred.
• Experience working with agents and associated risks is preferred.

Employer Context