A company is looking for a Data Science Lead, RQ. Key Responsibilities Lead design and implementation of probabilistic and statistical models for loss magnitude and attack path likelihood Expand and curate risk data sets, including loss event and CVE data Mentor a team of data scientists while remaining hands-on with modeling and code reviews Required Qualifications 7+ years of experience in applied data science or quantitative modeling Strong understanding of cybersecurity principles and risk frameworks Proven ability to build and deploy risk or predictive models in enterprise environments Proficiency in Python and familiarity with modeling libraries Experience with Git, Jira, and modern ML ops pipelines
Data Science Lead • Sterling Heights, Michigan, United States