Duties: You will be involved in specific engagements involving the building of new and bespoke advanced analytics solutions for clients. You’ll dive into complex data sets across a rich variety of industries, functions and geographies while remaining a core member of the strategy team, injecting your analytics thinking on meaningful client projects. You will shape solutions tailored to the needs of our clients, maximizing programming languages (e.g., R, Python), tech platforms, and disruptive analytics methodologies (e.g., Casual Inference, Bayesian Optimization, Geospatial Analytics, Natural Language Processing) as part of our tech-agnostic firm
Requirements: Bachelor’s degree in quantitative field like computer science, engineering, statistics, mathematics or related field required; advanced degree is a plus; Programming (focus on machine learning) in Python (must), SPSS, SAS, Ruby, Hadoop (valued); 3+ years of hands-on mathematical modelling experience in business environment