Coalition is looking to solve the problem of digital risk by creating innovative machine learning models to drive the future of their AI initiatives.
Requirements
- Practical and extensive experience in supervised and unsupervised machine learning methods
- Expertise in statistical analysis methods, most notably regression analysis, statistical inference, and forecasting
- Proficiency in SQL and programming in Python
Responsibilities
- Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
- Survey and incorporate recent advances in AI/ML research into our set of core capabilities to drive the future of decisioning at Coalition
- Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization.
Other
- Ph.D. or MS degree in a quantitative or computational field
- 5+ years of full-time work experience leading work to develop and deploy machine learning- and data-based solutions in production.
- Comfortable and effective in ambiguous problem spaces; ability to own and drive projects with minimal oversight and process
- Exceptional written and oral communication with technical and non-technical audiences
- Flexible PTO policy
- 100% medical, dental and vision coverage
- Annual home office stipend and WeWork access
