Data Scientist- Customer Analytics

About the job 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:

• Non-technical:
• 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)
• Problem solving mindset, challenging the status quo
• Self-organizing, independent and takes ownership of each task

KPIs:

• 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)