United States, Georgia, Atlanta.
Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing
Can do solutioning on the tools like MS Power BI, AWS QuickSight, Tableau.
Decision support provide clients with point-specific FP&A solutions, such as 13-week cash flow models, ROI models, pricing analysis, revenue and profitability analysis, and organizational design. Knowledge of various analytics platforms and data visualization tools, with the ability to use these to
Role: Data Scientist – Machine Learning Focus. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. As a Data Scientis
FP&A solutions, such as 13-week cash flow models, ROI models, pricing analysis, revenue and profitability analysis, and organizational design. Knowledge of various analytics platforms and data visualization tools, with the ability to use these tools to derive meaningful insights. Riveron brings func
FP&A solutions, such as 13-week cash flow models, ROI models, pricing analysis, revenue and profitability analysis, and organizational design. Knowledge of various analytics platforms and data visualization tools, with the ability to use these tools to derive meaningful insights. Artificial Intellig