Data Scientist- Customer Analytics

• Term: 5 months
• Job location: Abu Dhabi & Offshore
• Experience requirement: 3 years
• Project scope: Data Scientist Customer Analytics
• Number of resources: 1

Role:

Nontechnical

• Strong communication skills and ability to present findings
• Experience in Financial Industry
• Collaborate with cross-functional teams to understand business requirements
• Document all steps in the development process
• Stay updated with the latest developments in the field

Technical

• Advanced knowledge of statistical analysis and machine learning
• Highly proficient in SAS programming language (SAS 9.4)
• Proficient in other Data Science programming languages (e.g., Python, R)
• Experience in Dataiku and understanding of MLOps (on Azure)
• Develop, test, implement, and maintain predictive models
• Identify opportunities to innovatively use data/extract insights from complex data sets

Cultural Fit

• Owning the outcome (ownership)
• Being driven/passionate in analytics
• Problem-solving mindset challenging the status quo
• Self-organizing, independent, and takes ownership of each task
• Meticulous to detail
• Thrive under pressure

KPIs:

• Time to deployment
• Model accuracy (e.g., RMSE, MAE for regression tasks)
• Number of business problems addressed
• Responsiveness to business questions/problems/requests
• Number of departments/business users supported/adopted the solution
• Stakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.
• Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams measured through the quality of insights extracted.
• Data Security Compliance: Compliance with data security protocols and regulations.

Knowledge & Experience:

• 3 years in a similar role ideally with financial services
• Advanced knowledge of statistical analysis and machine learning
• Highly proficient in SAS programming language (SAS 9.4)
• Proficient in other Data Science programming languages (e.g., Python, R)
• Experience in Dataiku and understanding of MLOps (on Azure)
• Experience in Financial Industry will be an advantage

• Strong communication skills and ability to present findings to senior stakeholders (non-technical)