Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming
Corvus is reimagining commercial insurance with data science and machine learning playing a critical role. Data Scientists at Corvus are a key component of our mission to find and use alternative sources of data that can help our clients mitigate risk and make the world a safer place.
We’re looking for a full-stack data scientist who isn’t intimidated by the prospect of working with large, messy data sets. You’ll play a critical role in defining how data science can solve business problems, and will be responsible for the full data science life cycle, including defining the problem, prototyping data pipelines and building and implementing data science and machine learning products into client facing systems. Reporting to the Director of Data Science, this is a new and highly visible role in which you’ll work closely with Product Managers, Software Engineers, and Underwriters to expand the reach and impact of our data products.
Responsibilities
Qualifications
A tech startup team with insurance DNA. Our team has decades of experience in commercial insurance and decades more building and growing technology-enabled companies. We’re underwriters, data scientists, product builders and engineers united by a mission: to make the world a safer place by helping organizations mitigate or eliminate the impact of adverse events. We’re inspired by the intelligent, tool-building corvid family of birds that gives