Applied Scientist II

Coalition is hiring an Applied Scientist II to build and improve machine learning and GenAI models for underwriting decisions. The role involves framing and data exploration, model design, evaluation, deployment, and monitoring, directly influencing how we assess and price cyber risk.

Requirements

• Ph.D. or MS in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Math, Electrical Engineering) or equivalent practical experience.
• 5+ years of full-time experience developing and deploying ML- and data-based solutions in production.
• Practical, hands-on experience with supervised and unsupervised learning methods, including model selection, regularization, and calibration.
• Expertise in statistical analysis methods, especially regression analysis, statistical inference, and forecasting / time-series methods.
• Strong proficiency in Python and core ML libraries (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow) and SQL for working with large, messy datasets.
• Experience with experiment design and evaluation (e.g., A/B tests, offline metrics vs. online KPIs, guardrails) and with ensuring reproducible results.
• Minimum 1+ year of experience in insurance underwriting modeling (pricing, risk scoring, eligibility, or related applications).
• Bonus points for experience with modern GenAI techniques, model governance, and ML orchestration tools.

Benefits

• 100% medical, dental and vision coverage
• Flexible PTO policy
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
• Competitive compensation and opportunity for advancement