Data Scientist

Virtusa; Dubai; On-site; AED 180,000 - 260,000; Full time

Job summary

Virtusa in Dubai is seeking an experienced data science professional to drive identification and evaluation of new business opportunities through advanced machine learning techniques, and to oversee the analytics lifecycle from data preparation to deployment.

You will apply statistical and predictive modelling, integrate ML tools including SAS, Python, and Dataiku into operational processes, monitor deployed solutions, and communicate insights to business stakeholders.

Qualifications

• Minimum of 5 years in ML or data science using SAS and Python.
• Strong SAS Base, EMiner, and SAS Viya proficiency.
• Hands-on experience with Dataiku platform for production.
• Experience with cloud platforms (Azure Databricks and AWS) is a plus.

Responsibilities

• Identify and evaluate new business opportunities using machine learning techniques.
• Oversee the data analytics lifecycle from preprocessing to deployment and monitoring.
• Apply advanced statistical and predictive modelling to build and test hypotheses.
• Champion integration of ML technologies (SAS, Python, Dataiku) into business operations.
• Monitor deployed solutions and adapt to new data insights.
• Develop innovative analytics approaches and communicate results to stakeholders.

Skills

Machine learning

Statistical modelling

Data analysis

Problem solving

Communication of results

Education

Bachelor's degree in CS/Engineering/Math/Stats

Certifications in data science/analytics

Tools

SAS

Python

Dataiku

Azure Databricks

AWS

Job description

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.

• Bachelors degree in computer science Engineering Mathematics Statistics or related
• 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.

Required Experience:

IC