Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. The role involves designing and implementing models that predict demand, analyze price-demand relationships, and develop pricing strategies.
Requirements
- PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field
- Proficient programming skills in Python and SQL
- Foundational experience in machine learning modeling and statistics
- Strong knowledge with forecasting, optimization, and decision-making algorithms
- Hands-on experience with data pipeline development
- Strong communication skills, both written and verbal
Benefits
- Healthcare benefits
- 401(k) plan
- Short-term and long-term disability coverage
- Basic life insurance
- Stock option plan
- Bonus plans
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