Posted:2 months ago|
Platform:
Work from Office
Full Time
Responsibilities
Data mining and analysis using state-of-the-art methodsProcessing, cleansing, and verifying the integrity of data used for analysesBuilding 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 equivalentExperience with forecasting techniques using Time series methods and causal forecastingmethodsExperience with applying supervised and unsupervised learning techniques on unstructuredand semi-structured dataExperience with predictive modeling, deploying, and monitoring ML solutions in an iterativeor Agile/DevOps environment using lifecycle management methods and toolsDegree in Statistics/Quantitative Analyses, Computer Science, Mathematics, OperationsResearch, or other related technical fields with equivalent practical experienceExcellent English verbal and written communication skillsNice to have:Experience with Natural Language Processing (NLP) techniques.Familiarity with Microsoft Azure services and toolsExperience with the agile methodology for data science projects.
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