using sophisticated analytics and Machine Learning models to address difficult business challenges and generate departments to design data strategies, build models, and embed those models into software-driven business processes Feature Engineering, and Model Evaluation. DUTIES: Data Analysis and Modeling – Develop and deploy Machine Machine Learning and Artificial Intelligence models and algorithms to extract insights, predict outcomes data for modeling. Work with Data Engineering teams to ensure data availability and quality. Model Evaluation
Create system design documents, including data models, flowcharts, and interface designs. Work closely methodologies and best practices. Proficiency in system modeling tools and techniques. Must be willing to travel
SSIS, SSRS: they use Power BI Relational database modeling Basic knowledge of database management Integration
data collection, data cleaning and manipulation, model creation, analysis, and presentation of clients
and Data Science teams to develop and deploy AI models that improve debt collection strategies and customer
standard analysis techniques such as data flow modelling, workflow analysis, and functional decomposition