Guardian Life

Data Scientist

Guardian Life

full-time

Posted on:

Location Type: Hybrid

Location: New York CityMassachusettsNew JerseyUnited States

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Salary

💰 $95,170 - $156,355 per year

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