Data Scientist

J.D. Irving's Data Scientist interview process typically consists of a pre-recorded video interview followed by three in-person interviews conducted with senior employees from the Analytics team. Based on the job description, the process assesses your ability to frame analytics problems, perform data discovery and modeling, execute exploratory data analysis, select and deploy algorithms, and drive change management for data-driven solutions. For mid-level candidates, J.D. Irving expects you to own end-to-end project lifecycle from problem formulation through deployment and user adoption. The company values collaborative problem-solving, business acumen, and practical implementation skills. Preparation typically spans 4-6 weeks and requires deep understanding of ML fundamentals, statistical rigor, Python/SQL proficiency, and Azure platform familiarity.