Measured Analytics and Insurance is a high-growth Insurtech based in Salt Lake City, Utah. At Measured, we passionately believe in the power of data to drive better outcomes for our customers. We are building smarter cyber insurance products designed for the future of digital risk powered by artificial intelligence and machine learning.

We are looking for a Sr. Data Scientist to join our Data Science team that is building the best-in-class cyber insurance risk modeling technology. The ideal candidate will have professional experience in developing analytic/ML products that leverage large-scale data sets. Familiarity with risk modeling methodologies commonly used in the insurance industry is a big plus. If you are passionate about transforming data into actionable insights, we want to talk to you.

Job Responsibilities:

• Lead highly complex or critical data science and analytics projects that require a diverse array of data science applications in support of product development
• Responsible for leading problem analysis, solution design, front end and back-end integration, maintenance, and support or data science and analytics solution
• Daily responsibilities include leading multiple, concurrent projects and/or demonstrated project management skills, serving as a project lead guiding less experienced team members in multiple facets of project execution
• Independently develop data science models or algorithms, make recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications.
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows
• Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety
• Develop guidelines and standards for analytics and machine learning models, deployment, and associated processes
• Provide technical guidance or business process expertise, technical leadership, coaching and mentoring to team members
• Research new data sets and modeling techniques to improve existing cyber-insurance risk models and create new models to support our expanding portfolio of cyber-insurance products
• Monitor industry reports and other sources related to cyber breaches and losses; and leverage that data to tune and validate model performance
• Work with the engineering team to integrate risk models with Measured’s cyber-insurance products
• Develop and communicate technical vision for projects and initiatives that can be understood by internal, external customers and management

• Understanding of a broad array of technical and business issues with the ability to prioritize work and analyze issues to develop innovative and effective solutions
• User experience mindset, including the production of visualizations and infographics to distill complex information
• Extensive applied statistics and analytical experience
• Prefer experience working with Machine Learning software and languages including Python, Jupyter notebooks, and ML/Data Analytics libraries
• BS/BA in Statistics, Mathematics, Computer Science, Data Science, Engineering or quantitative field; Masters in Data Science is preferred
• 5+ years of experience as a Data Scientist working on commercial products
• Working knowledge of Data Engineering tools on AWS such as Glue, Athena, S3

• Significant career advancement opportunities in a fast growing company

• The chance to have direct input on shaping company strategy and direction 

• Autonomy while being supported by skilled teammates 

• Competitive salary and equity grants 

• Ability to work remotely