Requirements: PhD in Statistics, Computer Science, Mathematics, Data Science or closely related quantitative fields plus 1 year of relevant research experience in the field of machine learning or practical experience in assessing technical implementation of machine learning based models of start-ups on behalf of Venture Capital firms or other entities. Candidate’s prior experience must include: Understanding of modern machine learning techniques, best practices in their implementation at scale and performance evaluation; Understanding of conformal prediction techniques, sampling theory, bootstrapping and other approaches and their limitations around confidence interval estimations for different machine learning models; Proficiency in Python, R or comparable programming languages; and project management.