Must have experience with coding in objectoriented programming language Python, R; sourcing, cleaning and transforming data using SQL Queries; conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis predictive andor prescriptive; performing analysis and handling time series data including slicing the required data for specific time periods for given conditions; determining and defining objective function and constraints and solving using solver tool; developing and building robust data pipelines using Python; features for modeling by performing statistical significance tests on data like hypothesis testing and anova; building machine learning models and algorithms using Python or R for classificationprediction; building deep learning models and algorithms using Python or R for classificationprediction; open source frameworks like scikit learn and tensorflow; and analyzing and visualizing data using open source packages like seaborn, ggplot or Tableau. Employer will accept any amount of graduate coursework, graduate research experience or 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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