Senior Data Scientist

Posted 4 Days Ago
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Tel Aviv, ISR
In-Office
Senior level
Artificial Intelligence • Insurance • Machine Learning • Real Estate
The Role
The role involves designing and implementing robust ML models for automated decision-making in underwriting and risk assessment. Responsibilities include developing tabular models, managing projects end-to-end, and ensuring systems reliability.
Summary Generated by Built In
Honeycomb

At Honeycomb, we're not just building technology, we’re reshaping the future of insurance. 

In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel and named by LinkedIn as “Top 10 Startups in Chicago”.

How did we earn these honors?

Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 5 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another.

With over $55B in insured assets, Honeycomb operates across 20+ major states, covering 60% of the U.S. population and increasing its coverage.

If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for.

 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

Skills Required

  • 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
  • Strong expertise in tabular data modeling (e.g., tree-based models, linear models, ensembling)
  • Experience with production deployment of ML models, including monitoring and system reliability
  • Strong coding skills and familiarity with modern ML tooling and best practices
  • Familiarity with tabular foundation models and LLMs

Honeycomb Insurance Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeycomb Insurance and has not been reviewed or approved by Honeycomb Insurance.

  • Healthcare Strength Employees receive comprehensive medical, dental, and vision coverage, including 100% premium coverage for employees and additional support such as an HSA with company contributions.
  • Flexible Benefits A broad set of allowances and reimbursements is described, including a $600 annual perk allowance and support for home office setup plus monthly internet/phone/co-working reimbursements.
  • Equity Value & Accessibility Equity is positioned as a meaningful part of total rewards through stock options/RSUs with multi-year vesting, framed as valuable in a growth-stage company context.

Honeycomb Insurance Insights

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The Company
Chicago, Illinois
190 Employees
Year Founded: 2019

What We Do

Honeycomb was built to disrupt the real estate insurance industry. Using Artificial Intelligence and computer vision, we offer apartment buildings, condominium associations and single-family rental dwellings perfectly customized policies at unbeatable rates. Our digitally-native platform makes purchasing insurance an easy and transparent process for property owners, property managers associations directors, and retail agents.

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