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🤖 Closed by robot after apply link errored w/ code 403 1 month ago
\nFederato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.\n\nFederato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done. Better decisioning is built-in, not bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are part of the workflow so underwriters win the right deals, faster. From the moment a submission hits an underwriter’s inbox, AI is put to work, triaging submissions with a focus on high-appetite business, delivering real-time feedback on the portfolio, and consolidating workflows into a single proven system. Federato drives better business outcomes.\nData Science Team\nOur Data Science organization drives insights, models, and engineering solutions that power our products and customer implementations. We operate across three core functions:\n* Analytics – turning data into business insights\n* Core Engineering – building robust data and ML infrastructure (Data Engineering + ML Engineering foundations)\n* Modeling – developing, deploying, and maintaining advanced ML models and forward-deployed solutions\n\n\nWe collaborate closely with Product, Product Engineering, Forward Deploy Engineering (FDE), and Customer Success to design, build, and operationalize data products that deliver measurable impact.\nWe’re looking for a Data Science Manager to lead execution across the Data Science organization, ensuring our vision translates into consistent, high-quality delivery. \n\n#Salary and compensation\n
$100,000 — $150,000/year\n
\n\n#Location\nRemote
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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