The company is looking to build and deploy machine learning models that support its banking and lending business, and needs a Machine Learning Engineer to support this effort.
Requirements
- Proficiency in Python
- Experience with Google Cloud Platform, Amazon Web Services or other cloud computing platforms
- Experience developing and deploying machine learning and statistical models
- Data visualization skills for ad-hoc and exploratory analysis
- Experience with tree based models and gradient boosting
- Strong engineering and coding skills, with the ability to write production code
Responsibilities
- Implement and deploy modeling approaches to grow new products
- Use data science techniques to leverage new data sources for modeling
- Lead complex ML Operations and Infrastructure initiatives
- Support team members in ad-hoc and scheduled updates to existing models
- Work closely with product engineers within the product teams and broader Block/Square platform teams
Other
- Minimum of 3 years of hands-on data analysis experience in full-time professional, data-heavy, and machine learning focused role
- An advanced degree (PhD preferred) in computer science or a similar technical field
- Experience working with both technical and non-technical audiences
- A willingness to solve problems using whichever tool is most appropriate for the situation, balancing multiple business and technical constraints
