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Data Scientist - Hybrid
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- Assist in the development of new Machine Learning models to predict cost trends and customer behaviors and perform data mining by applying machine learning and supervised learning algorithms.
- Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression.
- Visualize, interpret, report, and communicate data findings creatively in a variety of formats and audiences using Excel, ggplot, Tableau, etc.
- Proven experience in developing and deploying production ML models using analytical methods such as regression, decision trees, support vector machines, supervised and unsupervised learning.
- Hands-on experience using relational database management systems (Teradata) and Cloud computing platforms (AWS, Databricks)
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