Principal Data Scientist

🕒 August 4

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $190k - $235k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Gradient AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🛡️ Insurance

☁️ SaaS

💰 $20M Series B on 2021-04

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.

📋 Description

• Lead the organization’s most complex and high-impact modeling and analytical initiatives • Set modeling strategy across the organization • Drive novel data science work and raise technical standards for building and shipping models • Combine deep learning, large language models, and traditional data science techniques to create hybrid models • Brainstorm, prototype, prove, deploy, and rapidly realize the market value of projects • Solve problems involving big data, federated learning, unstructured data, time series, sequence modeling, GLMs, XGBoost, and Transformers • Communicate data insights to customers, stakeholders, and prospects to drive business results • Spearhead new projects and build reusable systems, packages, and frameworks • Create team MLOps standards and practices • Monitor model drift, KPIs, and impact; drive improvements, triage issues, and manage technical debt

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or a related field and 8+ years of professional data science experience building predictive models, or a Master’s or Ph.D. and 5+ years of such experience • Expert-level knowledge of deep learning, machine learning algorithms, and the core Python data science ecosystem • Strong communication and collaboration skills, including communicating with nontechnical stakeholders and leadership • Deep experience with natural language, medical data, long-tail predictions, or similar problem spaces • Strong familiarity with all phases of the MLOps model lifecycle • Experience creating team standards and practices to enforce quality and speed • Deep experience being accountable for long-term model impact, including MLOps pipelines, drift monitoring, KPI and impact monitoring, incremental and long-term improvements, issue triage, and responsible technical-debt management • Fluency with actuarial methods and experience working with actuaries is a plus • Familiarity with healthcare and medical data • Familiarity with underwriting and claims, or predicting long-tailed and/or rare events

🏖️ Benefits

• Generous stock options • Unlimited vacation days • Flexible schedule that supports working from home • Medical, dental, and vision benefits • 401k • Paid paternal leave • Annual performance bonus • Comprehensive benefits package • Opportunities to learn and take on new responsibilities • Merit-based increases, promotions, and company-wide compensation adjustments