Analyst-Data Science

Role Overview

Role Responsibilities

• Develop, deploy, and validate predictive models for risk, fraud, and marketing decisions.
• Analyze large amounts of data to derive business insights and create innovative solutions.
• Use the Amex network and data capabilities to improve decision quality and relevance.
• Develop newer approaches using big data and machine learning solutions.
• Communicate structured findings across prospect and customer domains to leadership and key partners.
• Track developments in finance, payments, analytics, and related fields.

Qualifications

• MBA or master's degree in economics, statistics, computer science, or a related field.
• 0–30 months of experience in analytics or big data workstreams.
• Ability to work effectively in a team environment and drive project deliverables.
• Strong communication and interpersonal skills.
• Ability to learn quickly and work independently on complex, unstructured initiatives.
• Ability to integrate with cross-functional business partners worldwide.

Technical Skills

• SAS, R, Python, Hive, Spark, and SQL.
• Supervised and unsupervised learning techniques, including active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, and Bayesian models.
• MapReduce techniques and attribute engineering.

Preferred Qualifications

• Expertise in coding, algorithms, and high-performance computing.

About the Company