Staff Data Scientist

Gradient AI

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact. Our platform harnesses a vast industry data lake to make complex risk clear, usable, and actionable.

Responsibilities

  • Lead complex modelling and analytical projects of broad and diverse scope
  • Drive cross-product initiatives with minimal direction
  • Leverage deep learning and large language models with traditional data science techniques
  • Prototype, deploy, and realize the value of models in market quickly
  • Solve challenges involving big data, federated learning, and unstructured data
  • Communicate technical findings to nontechnical stakeholders to drive business value

Requirements

  • Bachelor's degree in Computer Science, Data Science, Mathematics, or similar with 5+ years of experience
  • OR Master's or Ph.D. in a related field with 3-5 years of experience
  • Advanced proficiency with Python and deep learning frameworks
  • Deep understanding of modern AI architectures (Transformers, Neural Networks, LLMs)
  • Hands-on MLOps experience (Docker, CI/CD, model serving, and APIs)
  • Experience monitoring models in production for data and concept drift
  • Strong peer leadership and ability to mentor junior data scientists

Preferred Qualifications

  • Fluency with actuarial methods
  • Familiarity with healthcare and medical data
  • Experience with underwriting, claims, or predicting rare events

Benefits

  • Generous stock options
  • Unlimited vacation days
  • Flexible schedule supporting work from home
  • Full benefits package including medical, dental, vision, and 401k
  • Paid paternal leave

Skills & tools

PythonLLMMLOps

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's or higher in CS/Math/Data Science
  2. 023-5+ years professional data science experience
  3. 03Proficiency in Python and deep learning frameworks
  4. 04Experience with MLOps and Docker
  5. 05Experience with LLMs and Transformers
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