Experience must include 24 months in each of the following 1. Solving analytical problems and building models using quantitative, statistical, or machine learning approaches;br 2. Machine learning, statistics, or other data analysis tools and techniques;br 3. Performing data extraction, cleaning, analysis and presentation for mediumtolarge datasets;br 4. Programming in Python, R, Java, or C;br 5. Writing SQL queries;br 6 Scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikitlearn, dplyr, or ggplot2;br 7. Statistical methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis;br 8. Data visualization libraries such as Matplotlib or Pyplot andbr 9. Machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras, or Theano.

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