Job Duties:

Implement data science algorithms underpinning various statistical and machine learning models from regression, classification, clustering to optimize the analysis. Generate quick and sturdy business insights using standard tools and frameworks across various tech stacks including open source ones. Work closely with data and software engineers to provide robust and dependable business intelligence. Work with complex programming languages including Python, Scala, Java and able to provide solutions by using cloud providers Azure, AWS and GCP. Use cloud technologies applications to solve data science problems. Develop statistical, econometric, Artificial Intelligence/Machine Leaning (AI/ML) and optimization models for personalization, customer engagement, marketing science, retail analytics, business analytics and supply chain analytics using big data in cloud environment to improve customer satisfaction and for promotion. Leverage state of the art data science tools methodologies and algorithms to drive improved decisions. Collaborate in the development and implementation of predictive models, segmentation strategies, optimization algorithms and data mining analysis with a targeted result of increasing. Research, innovate, design algorithms and techniques that contribute to optimization. Will work in Austin, TX and/or various unanticipated client sites throughout the U.S. Must be willing to travel and/or relocate.