The role involves driving data insights to uncover business opportunities and revenue streams. The individual will work with stakeholders to generate hypotheses and create analytic models to address business questions. Responsibilities include identifying analytic trends, interpreting patterns in complex data sets, and developing repeatable analytic solutions. The position requires processing massive data streams in distributed computing environments and implementing batch and real-time model scoring. Additionally, the role entails conducting market research, developing points of view, and communicating findings to clients.

Candidates must have at least four years of experience supporting data science projects within a consulting environment. Required technical expertise includes three years of experience using Python or R to analyze disparate datasets. Applicants should have a background in predictive analytics, data design, statistics, AI, ML, or ML Ops. An undergraduate or graduate degree is preferred for this position.