
Chief Data Science Innovation Leader
2 days ago
About the Role:
The ideal candidate will be responsible for developing and implementing scalable ML products to drive business growth and mitigate customer journey risks.
This involves working closely with cross-functional teams to design, build, and deploy end-to-end ML/MLOps system architecture.
Key requirements include expertise in Python and PySpark programming languages, proficiency in Azure cloud services and DevOps practices, as well as domain knowledge of credit risk modeling.
Excellent communication and stakeholder management skills are essential for success in this role.
You will be part of a fast-paced environment where innovation is encouraged and collaboration is key.
We are seeking a highly skilled individual who can lead by example, foster a culture of experimentation, and drive business outcomes through data-driven decision making.
To succeed in this position, you must have a strong passion for data science and a desire to continuously learn and improve.
Your contributions will play a critical role in shaping the future of our company's digital banking capabilities.
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