Job Openings
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 is 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:
- 3years + 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 is 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)