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Data Scientist at PriceSenz

-4 to 6 years of industry experience in predictive modelling, recommender systems and data analysis - Solid understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc
- Experience using Python and Client libraries, such as scikit-learn, pandas, numpy, scipy
- Experience handling terabyte size structured and unstructured datasets using distributed frameworks such as Spark, Hive
- Familiarity with using data visualization tools
- Experience working with GPUs to develop deep learning models
- Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations

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