Responsibilities Data mining and analysis using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analyses Building and optimizing data models using machine learning techniquesSkills and QualificationsMust have: At least 2 years of experience working on data science projects delivered to external clients. Proficiency with programming languages: Python, PySpark, and SQL. Proficiency with common data science tools: Scikit-learn and at least one amongTensorFlow, Keras, PyTorch, or equivalent Experience with forecasting techniques using Time series methods and causal forecastingmethods Experience with applying supervised and unsupervised learning techniques on unstructuredand semi-structured data Experience with predictive modeling, deploying, and monitoring ML solutions in an iterativeor Agile/DevOps environment using lifecycle management methods and tools Degree in Statistics/Quantitative Analyses, Computer Science, Mathematics, OperationsResearch, or other related technical fields with equivalent practical experience Excellent English verbal and written communication skillsNice to have: Experience with Natural Language Processing (NLP) techniques. Familiarity with Microsoft Azure services and tools Experience with the agile methodology for data science projects.