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Salary
$160k – $200k per year
Location
Remote (United States)
Employment
Full-Time

First seen by Alion on Nov 15, 2026.

Overview
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Profile match
Federato is an insurance technology company that builds an AI-native underwriting platform for property and casualty insurers. Its RiskOps software brings risk appetite, portfolio data and underwriting workflow into one place, helping underwriters prioritize submissions and write profitable business in lines exposed to climate, cyber and other emerging risks. The company is headquartered in San Francisco, California, United States.
Backed by Pear VC, Emergence

You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our business. You will have a huge impact on our success and will be part of a fast growing team!

  • Demonstrated interest in engineering for impact

  • 2+ years of hands-on industry experience with machine learning and optimization models

  • 2+ years of experience with model deployment, monitoring and version control

  • Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree.

  • Comfortable with Python, Flask/Django, Pandas and Numpy

  • Demonstrated ability to pick up new technologies quickly and learn on the spot

Pay Range: $160k - $200k

Federato Technologies is a Series A startup based in San Fransisco, CA looking to hire a data scientist. Federato is a venture backed company funded by some of the most prominent VC’s in the Bay Area. We build software to help large insurance carriers improve their portfolio optimization. Our goal is to close down the $150B insurance gap by making insurance affordable again. The initial algorithms used in our product spun out off the founders published research in Reinforcement Learning, Statistics, and Optimization.

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition.

This is a remote position, but we do have an office in San Fransisco.

Originally posted on Himalayas

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