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forecasting nlp sql python deep learning📋 Description
- Lead end-to-end AI/ML initiatives from data to deployment
- Design predictive models, probabilistic methods, and analytics
- Validate model performance in real-world use; RCCA analysis
- Define continuous improvement roadmaps for AI/ML solutions
- Collaborate with business and engineers to align objectives
- Maintain production-grade ML models and monitoring
🎯 Requirements
- 5 years practical data science in real-world contexts
- Python programming with clean, maintainable code
- Advanced SQL with large datasets
- Strong math, statistics, and ML methodologies
- Deploying/maintaining ML models in production
- Translate business challenges into analytical problems
🎁 Benefits
- Flexible hours and remote-first mode
- Competitive compensation
- Complete hardware/software setup for work
- Open-door culture and transparent communication
- Health insurance, vacation, leaves
- Access to learning and development center
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