Data Science Internship (immediate)

Responsibilities

Explain the predictive models to various business users and make recommendations to drive business strategy Make recommendations to resolve application performance problems Implement data processing methods and tools Collaborate with product leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models Leverage your experience in analytics tools and scientific rigor to produce actionable insights Distill and communicate key insights to senior management in verbal, visual, and written media Together with the Co-op department lead, determine an appropriate data science problem statement and toolset to apply during the co-op term Determine strengths and weaknesses of data science toolsets and procedures

Qualification

Knowledge of Machine Learning concepts (cross-validation, regularization, boosting, bootstrapping, ) is a plus Working on a degree in Computer Science, or a related field with project experience in data analysis Experience with big data technologies (Hadoop, Hive, MongoDB, Spark) Experience with statistical analysis and data mining using tools such as R, SAS, Matlab, Stata, or SPSS