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mongodb python pandas flask scikit-learn📋 Description
- Build, maintain, and improve high-performance AI/ML analytics tools.
- Prototype and productionize AI across operations, product, and fundamental research.
- Collaborate with the CEO/CTO and engineers/scientists to apply AI at scale.
- Leverage the world's largest dataset of RCT survey experiment results to drive insights.
- Design and optimize distributed, parallel computing systems for scalable analytics.
- Contribute to ML Ops tooling and infrastructure to accelerate experimentation and deployment.
🎯 Requirements
- 5+ years of professional experience building scientific or quantitative data-intensive software.
- Expertise in the scientific Python stack, object-oriented and test-driven development, vectorized code, and machine learning.
- Excellent problem solving skills and attention to detail.
- Expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
- You are knowledgeable about software architecture and can design scalable, performant solutions.
- You value code quality and write maintainable, testable code.
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