Responsible for extracting and cleaning data, performing statistical analysis and predictive modeling techniques and optimization methods using algorithms and implementing them using Python, R and SQL. Conduct exploratory data analysis to understand the underlying patterns, trends, and relationships in the data. Apply statistical methods for outlier detection, hypothesis testing and data analysis. Select appropriate algorithms based on the nature of the problem and the available data. Explore, investigate and test appropriate statistical/machine learning models based on model comparison metrics for a given business problem. Design, build and deploy scalable machine learning models. Work on cloud platforms and parallel processing using PySpark to scale model development/deployment. Create and maintain dashboards for data visualizations, and reporting using Tableau, RShiny, PowerBI. Communicate findings and insights to stakeholders. Research and implement new technologies to enhance current processes, methodologies, and performance. Lead in all phases of the model development lifecycle using best practices in object-oriented techniques and Agile methodologies.

Location: Will work in Irving, Texas and/or various client sites throughout the United States. Must be willing to travel and/or relocate.