Must have experience with Translating business requirements to a problem that can be solved using statistical andor machine learning techniques; Building datasets from different sources for data analysis and model development; Performing data wrangling, cleaning, and preprocessing data using PySpark; Training and deploying models using virtual machines; Deriving metrics for model performance monitoring and conducting continuous performance monitoring; Conducting exploratory data analysis to understand the patterns and potential business insights exhibited in the data using PySpark, Pandas and Numpy; Creating data visualizations to summarize insights discovered during data analysis; Presenting business insights to internal team members and business stakeholders; Using supervised and unsupervised machine learning and statistical methods with scikitlearn, Tensorflow and PyTorch; and Creating and validating training as well as production pipelines for model features. Employer will accept any amount of experience with the required skills.br br CONTINUATION OF SECTION H.8A H.8C Minimum education and experience required Bachelors degree or the equivalent in Analytics, Computer Science, or related field plus 2 years of experience in analytics or a related field; OR Masters degree or the equivalent in Analytics, Computer Science, or related field; OR 4 years of experience in analytics or a related field.
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