Senior Data Scientist

Responsibilities

• Develop data science solutions for forecasting Accounts Receivable and/or Account Payable, with a strong emphasis on accuracy and integrity
• Work with SageMaker to leverage its capabilities for model development
• Solve regression and time-series-related problem statements using various advanced analytics methodologies, including Linear Regression, Machine Learning, Deep Learning, clustering, classification, segmentation, and more
• Perform model development and validation to improve model accuracy
• Cleanse, filter, and refactor complex data from different sources, and analyze it to identify its potential for generating high-accuracy models
• Utilize Python for data analysis and modeling
• Apply different machine learning algorithms to solve complex business problems
• Conduct statistical analyses and advanced data management using Python
• Create data visualizations to communicate insights to non-technical audiences

Languages