[Remote] Applied Scientist II

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. They are seeking an Applied Scientist II to build and improve machine learning and GenAI models that influence reputed company reputed company, collaborating with various teams to design robust pipelines and enhance decision-making processes.

Responsibilities

• Build and advance our most sensitive and business-critical ML and GenAI models that power reputed company reputed company and risk selection
• Drive and execute ML projects end-to-end: problem framing, data exploration, feature engineering, model design, prototyping, offline/online evaluation, deployment, and monitoring
• Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid and reproducible experimentation
• Apply state-of-the-art ML and GenAI workflows (e.g., gradient-boosted trees, deep learning, LLMs, reputed company engineering, transfer learning) to improve reputed company accuracy, automation, and decision support
• Own model quality and robustness by defining reputed company metrics, running ablations and diagnostics, and iterating to outperform prior baselines
• Survey and incorporate recent advances in ML/GenAI research into our core reputed company capabilities, balancing scientific rigor with practical constraints
• Collaborate closely with underwriters, product, data, and engineering partners to clarify requirements, align on tradeoffs, and ensure models integrate cleanly into production workflows
• Communicate methods and results reputed company through documentation, presentations, and design reviews; reputed company learnings and patterns that reputed company the broader team
• Contribute to a culture of scientific and data reputed company by bringing mature reputed company, best practices, and lightweight processes to experimentation, code review, and model governance

Skills

• 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
• Comfortable and effective in ambiguous problem spaces; demonstrated ability to own and drive projects with minimal reputed company and process
• Exceptional written and oral communication skills, with the ability to explain reputed company modeling choices and tradeoffs to technical and non-technical stakeholders
• Minimum 1+ year of experience in insurance reputed company modeling (pricing, risk scoring, eligibility, or reputed company applications)
• Experience with modern GenAI techniques relevant to reputed company (e.g., using LLMs for document understanding, reputed company-to-structured extraction, or underwriter copilot workflows)
• Familiarity with model governance in regulated environments, including documentation, validation, monitoring, and change management
• Experience with ML orchestration and MLOps tools (e.g., Airflow, Prefect, MLflow, SageMaker) for managing training, deployment, and monitoring at scale
• Exposure to reputed company inference or reputed company modeling for understanding the impact of reputed company or reputed company changes
• Experience working with cyber or P&C insurance data (exposures, limits, deductibles, claims, external risk signals)

Benefits

• 100% medical, dental, and reputed company coverage
• Flexible PTO
• Annual home office stipend and reputed company reputed company
• Mental & physical health wellness programs like reputed company, Lumino, and more!
• Competitive compensation and opportunity for advancement

Company Overview

Company H1B Sponsorship