Data Scientist

Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques.  Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline specifications.  Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis.  Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations.  Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights.  Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.  Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field; Additional Degree or certifications in the field related to data science/Analytics ispreferred.  Minimum of 5\+ years in machine learning, data science, or a related field using SAS EG 8\.3 or above, SAS Viya, python.  Advanced proficiency in programming languages in SAS Base, EMiner,  Advanced Hands\-on Programming experience in Python.  Hands on Experience of working on Dataiku Platform for production is required  Azure Databricks and AWS knowledge is a plus  Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.  Expertise in cloud technologies and architectures for machine learning Development, with hands\-on experience in SAS, Azure data bricks as well as Dataiku.  Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.  SAS, Dataiku certifications would be added advantage.