The role involves leading, designing, and implementing high-impact analytics, machine learning, and Generative AI solutions. The manager will oversee the end-to-end lifecycle of projects, from business problem definition to model development, validation, deployment, and monitoring. Responsibilities include performing advanced data wrangling, feature engineering, and building automation pipelines using large-scale datasets. The position requires collaborating with engineering teams to integrate models into production environments and creating reusable frameworks to improve team efficiency. Additionally, the role involves mentoring junior staff and translating complex analytical concepts into actionable recommendations for stakeholders. The manager will also build client relationships by supporting scoping discussions and roadmap development.

Candidates must possess at least 5 years of relevant work experience with a Bachelor’s degree, or 2 years with an Advanced degree, or 0 years with a PhD. A post-graduate degree in a quantitative field such as Statistics, Mathematics, Data Science, Computer Science, Informatics, Economics, or Engineering is preferred. Applicants are required to have hands-on expertise in the complete machine learning lifecycle and proficiency in Python and its data science ecosystem. Fluency in both English and Spanish is necessary for the role.