Data Science Leader, AIML Data Operations

The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale. Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 4+ years of experience in managing data science, analytics, or data operations teams 4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization Mastery in SQL-based languages, and proficiency in at least one large-scale data languages Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R Preferred Qualifications Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization Experience in managing data science or analytics teams in AI & ML annotations and collections areas. Passion for AIML and Operations, with a consistent track record of operational results.