Data Science Job Openings At American Express – WFH(Hybrid)

Qualifications

Minimum Qualifications

• MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields
• 0-30 months of experience in analytics, big data workstreams
• Ability to drive project deliverables to achieve business results
• Ability to work effectively in a team environment
• Strong communication and interpersonal skills
• Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
• Ability to Integrate with Cross-Functional Business Partners Worldwide
• SAS, R, Python, Hive, Spark, SQL
• Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering

Preferred Qualifications 

• Expertise in Coding, Algorithm, High Performance Computing

Description on the role

• Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.

Responsibilities: 

• Understand the core business of AXP and the levers behind various decisions
• Analyze large amounts of data to derive business insights and create innovative solutions
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution
• Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
• Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.