American Express is searching for a Data Science Analyst!
Do you want to use your skills to solve complex problems and impact millions of customers?
American Express's Credit & Fraud Risk (CFR) Analytics & Data Science CoE is looking for a talented Data Science Analyst to join their team! In this role, you will be responsible for developing, deploying, and validating predictive models to enable profitable decisions across risk, fraud, and marketing.
What you'll be doing:
Analyze large amounts of data to uncover business insights and develop innovative solutions
Build and deploy machine learning models to support business decision-making
Collaborate with cross-functional partners to integrate your findings into business processes
Stay up-to-date on the latest advancements in analytics, big data, and machine learning
What you bring to the table:
- Master's degree in Economics, Statistics, Computer Science, or a related field (MBA preferred)
- 0-30 months of experience in analytics and big data (Sr. Analyst requires 24-48 months)
- Strong analytical and problem-solving skills
- Proficiency in coding languages like SAS, R, Python, SQL, Hive, and Spark
- Experience with machine learning techniques such as decision trees, neural networks, and reinforcement learning
- Excellent communication and interpersonal skills
Why American Express?
- Competitive salary and benefits package
- Flexible work arrangements (hybrid, onsite, or virtual)
- Opportunities for career development and training
- Be part of a team that is using data science to drive innovation in the financial services industry
.png)
Post a Comment
Post a Comment