Data Scientist, Credit Modeling - Remote

Overview

We are looking for a leader with a passion to develop novel machine learning software systems for credit modeling and default risk prediction, deploy the systems to production, and test them to ensure all users and merchants needs are covered.

In Short

• Drive a roadmap applying Machine Learning technologies to various credit-related tasks.
• Work with leadership to identify ML opportunities and drive solutions.
• Engage with stakeholders to demonstrate product benefits and drive adoption.
• Design scalable and deployable machine learning solutions.
• Define performance metrics and coach the team to achieve them.
• Own the process of model building and the supporting infrastructure.
• 3+ years of software engineering experience in ML systems.
• Experience in building complex, scalable ML pipelines.
• Ability to present ML concepts to a technical audience.
• Master's degree or equivalent in a related field.

Requirements

• 3+ years of software engineering experience and a proven track record of successfully architecting and taking ML systems to production.
• Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm execution.
• Ability to explain and present analyses and machine learning concepts to a broad technical audience.
• Have an extreme bias towards action.
• Be able to maintain high-performance in a fast-paced work environment.
• You have a master degree or equivalent in Computer Science, Engineering, Mathematics or related field.
• Working knowledge of PyTorch, Tensorflow or other similar frameworks is a plus.
• Working experience of AWS SageMaker, Google Vertex is a plus.

Benefits

• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance).
• 401K.
• Translation/Interpretation support.
• VISA sponsor + Relocation support.