Data Science, Programming, and Commuications
leveraging programming languages to create production-scale data science applications. Use deep mathematical expertise in research and development of new methods and algorithms. Possess in-depth experience in applying communication skills to ensure comprehension of complex analytical results by diverse populations.
Technical/computational skills:
R – Java – C++ – Python (e.g., Numpy, SciPy, scikit-learn, SimPy) – SQL – Hadoop (HDFS,MapReduce) – Crystal Ball/@Risk – Neo4j
Analytical skills:
Machine Learning/Predictive Analytics – Multivariate Statistical Analysis (Maximum likelihood, Bayesian, and Nonparametric) – Decision Analysis – Linear and nonlinear optimization – Calculus of Variations – Simulation Modelling
Work Terms
Up to 10 hours per week, working remotely. Communication via email is preferred.