Senior Data Scientist, Credit Modeling

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Requirements:

• 8+ 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 with a 'Get Things Done' attitude.
• Ability to maintain high-performance within a high-energy and fast-paced work environment.
• Master's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Working knowledge of PyTorch, TensorFlow, or other similar frameworks is a plus.
• Working experience of AWS SageMaker, Google Vertex is a plus.

Responsibilities:

• Drive a roadmap that applies Machine Learning technologies to content discovery, engagement, recommendation, prediction, risk underwriting, etc.
• Work with the leadership team to identify opportunities for using ML and drive solutioning in areas of Credit.
• Collaborate with stakeholders to showcase the benefits of your system and promote product adoption.
• Design scalable and deployable machine learning solutions.
• Define performance and validation metrics and coach the team to achieve these.
• Introduce and own the process of model building and the infrastructure behind it.