
Data Scientist
Guardian Life
full-time
Posted on:
Location Type: Hybrid
Location: New York City • Massachusetts • New Jersey • United States
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Salary
💰 $95,170 - $156,355 per year
Tech Stack
About the role
- Design and implement Agentic AI solutions that automate business workflows, improve decision-making, and enhance customer and employee experiences
- Apply LLMs and generative AI to process and interpret unstructured data such as contracts, underwriting notes, claims, medical records, and customer interactions
- Develop autonomous agents and reasoning systems that integrate with Guardian’s platforms to deliver measurable business outcomes
- Collaborate with data engineers and AIOps teams to ensure models are scalable, robust, and production-ready
- Translate research in agentic AI and reinforcement learning into practical applications for underwriting, claims automation, customer servicing, and risk assessment
- Work closely with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact
- Contribute to the Data Science Lab by building reusable components and frameworks for developing and deploying agentic AI solutions
Requirements
- PhD with 0–1 years of experience, Master’s degree with 2+ years, or Bachelor’s degree with 4+ years in Statistics, Computer Science, Engineering, Applied Mathematics, or related field
- 2+ years of hands-on experience in AI/ML modeling and development
- Solid understanding of probability, statistics, and machine learning fundamentals
- Strong programming skills in Python and familiarity with frameworks like PyTorch, TensorFlow, and LangGraph
- Experience with LLMs, generative AI, and multi-step reasoning systems
- Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, ...)
- Working knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks
- Strong communication skills and ability to collaborate effectively with product and engineering teams
Benefits
- Contemporary, supportive, flexible, and inclusive benefits
- Skill-building opportunities
- Leadership development
- Philanthropic opportunities
- Opportunities to build communities and grow your career
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/ML modelingPythonPyTorchTensorFlowLangGraphprobabilitystatisticsmachine learningclusteringdecision tree
Soft Skills
strong communicationcollaboration
Certifications
PhDMaster's degreeBachelor's degree