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
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Federato Technologies is a venture-backed high-growth company that recently closed our Series A financing with a top VC.  An entirely different kind of InsurTech, Federato sells a SaaS-based solution that can be characterized as an Intelligent Underwriting Platform. Designed by spending over 1250 hours with users, it solves the core problems that plague underwriting today. Our platform aids underwriters in making better decisions, enhances their productivity, and delivers improved business outcomes, all while increasing job satisfaction with a beautiful user experience. Our founding team has extensive experience in building, researching, and selling machine learning products and came together in search of a product that could leverage these skills for positive impact. We’ve set out to build software that works to address the generation-defining issue of economic inequality in the face of climate change. We are running head first at the $150B+ coverage gap that faces the insurance industry as increasingly frequent and severe weather events challenge the status quo in commercial underwriting.