Principal Data Scientist

6 hours ago

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Gradient AI

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Artificial Intelligence • Insurance • SaaS

Gradient AI is a leading provider of artificial intelligence solutions tailored for the insurance industry. Specializing in underwriting and claims management, the company enhances the precision of risk assessment, expedites quote turnaround times, and reduces claim expenses through intelligent automation. Gradient AI serves various sectors within insurance, including group health, property and casualty (P&C), and workers' compensation. Its solutions leverage extensive datasets and AI technology to provide insurers with deeper insights, facilitating more informed decision-making and increasing profitability. The company's innovative approach is aimed at driving efficiency and cost savings across underwriting and claims processes.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

💰 $20M Series B on 2021-04

📋 Description

• Design, develop, and implement predictive models for underwriting and patient care management, utilizing machine learning and deep learning techniques. • Analyze large datasets to identify trends, patterns, and anomalies that can inform underwriting decisions and enhance patient care strategies. • Work closely with cross-functional teams, including product management, data engineering, software engineering, actuarial consulting, clinical, and IT, to understand business needs and translate them into data-driven solutions. • Stay current with industry trends, emerging technologies, and best practices in data science and health insurance. Propose innovative solutions to enhance underwriting processes and patient care management.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 12+ years of professional data science experience building health insurance underwriting or care management solutions • OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 7+ years of professional data science experience building health insurance underwriting or care management solutions • Advanced proficiency in Python and its core data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, LightGBM, etc.) • Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and an understanding of modern architectures (e.g., Transformers, Neural Networks, LLMs). • At least 2+ years in Health underwriting, insurance, or managed care industry experience required • Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines • Proficiency analyzing and building model utilizing health insurance claims data, electronic medical records, or similar patient health and prescription data. • Fluency in SQL, Relational databases, and Databricks • Fluency in AWS or similar Cloud computing environment. • Bonus qualifications: • Fluency with actuarial methods and working with actuaries is a plus • Experience with MLOps principles and tools such as MLflow to build, deploy, and productionize machine learning models is a nice to have

🏖️ Benefits

• A fun, team-oriented startup culture. • Generous stock options - we all get to own a piece of what we’re building. • Unlimited vacation days. • Flexible schedule that supports working from home. • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. • Ample opportunities to learn and take on new responsibilities.