Responsibilities

• Data Modeling: Develop and implement predictive and prescriptive models to support business decision-making. Ensure data quality and integrity throughout the analysis process.
• Design and implement data infrastructure and processing workflows required to support data science, machine learning, BI and reporting
• Build robust, efficient, and reliable data pipelines consisting of diverse data sources
• Design and develop real time streaming and batch processing pipeline solutions
• Own the data expertise and data quality for the pipelines
• Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects
• Build analysis in Python with accompanying documentation
• Combine and manipulate data sources to produce value-added analyses from which insights and opportunities can be extracted