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.