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.
Federato is an AI-native platform that transforms how insurance work gets done across the full policy lifecycle. The company enables insurers to provide affordable, equitable coverage to individuals and organizations facing modern challenges like climate crisis, cyber-attacks, and social inflation. Their RiskOps solution uses deep reinforcement learning to optimize insurance portfolios, automate underwriting decisions, and surface real-time risk insights. Federato's platform streamlines distribution management, agent onboarding, licensing, and compliance while consolidating workflows into a single system that helps underwriters make better decisions faster. The company is backed by investors behind major companies like Salesforce, Veeva, Zoom, and Box.
