Senior Data Scientist

 About The Role:

We are looking for a Senior Data Scientist to join our automatic decisions group, focusing on tabular data prediction team, which is responsible for building highly reliable systems that power automated decision-making across our product.

In this role, you will design and implement robust models and data-driven systems that directly influence underwriting, risk assessment, and core business workflows. You will champion best practices, drive measurable performance gains, and help shape the architecture of high-scale, production-grade ML systems.

What You’ll Do: 

• Build and improve tabular models that drive automated decisions and efficiency at scale
• Work on projects such as expected lifetime revenue, renewal rate, chance to bind, expected underwriter decision, and priority queue
• Own projects end-to-end: from framing the problem with stakeholders to deploying and monitoring in production
• Bring an impact-driven, accountable and independent mindset – a positive team player

Requirements

• MSc. or PhD in Computer Science, Physics, Electrical Engineering, Applied Math, or a related field.
• 5+ years of hands-on experience developing and deploying data science or machine learning solutions, with strong expertise in tabular data modeling (e.g., tree-based models, linear models, ensembling, time-dependent models).
• Experience with production deployment of ML models, including monitoring, CI/CD, data validation, and system reliability.
• Ability to independently initiate, plan, and drive ML projects end-to-end.
• Strong coding skills and familiarity with modern ML tooling and best practices.
• Team player, positive, driven, independent, and a fast learner.
• Familiarity with tabular foundation models and LLMs – advantage   

Why Honeycomb

• Build foundational AI systems in a sector ripe for innovation and modernization
• See your work deployed quickly with immediate customer and business impact
• Collaborate directly with product, engineering, and executive teams—minimal bureaucracy
• High autonomy, fast development cycles, and meaningful equity ownership
• Be part of a mission-driven company redefining what insurance technology can be