Masters degree of higher in an analytical field such as (but not limited to) Social Sciences (Sociology, Education, Economics, Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science.
Equipped with deep knowledge of statistical analysis and modeling tools, along with a strong foundation in linear algebra, geometry, optimization, or inference techniques.
Strong programming skills in a scripting language (Python, R, Matlab, etc), using these tools to import, clean, analyze and visualize data to enable data-driven decision making.
Possess excellent communication and interpersonal skills, attention to detail, patience, and aesthetic sensibility.
Demonstrated experience working in teams and collaborating with peers, with a willingness to solicit input and accept feedback.
Experience with population modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty.
Experience using statistics to identify trends and anomalies in multivariate and/or medium-sized and/or large-scale datasetss.
Experience with human anthropometric, biometric, or perception/preference data, and/or a willingness to delve deeper in to these data types.