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:

1. Non-technical
2. Strong communication skills and ability to present findings
3. Experience in Financial Industry
4. Collaborate with cross-functional teams to understand business requirements
5. Document all steps in the development process
6. Stay updated with the latest developments in the field
7. Technical
8. Advanced knowledge of statistical analysis and machine learning
9. Highly Proficient in SAS programming language (SAS 9.4)
10. Proficient in other Data Science programming languages (e.g. Python, R)
11. Experience in Dataiku and understanding of MLOps (on Azure)
12. Develop, test, implement, and maintain predictive models
13. Identify opportunities to innovatively use data/ extract insights from complex data sets
14. Cultural Fit
15. Owning the outcome (ownership)
16. Being driven/passionate in analytics
17. Problem solving mindset, challenging the status quo
18. Self-organizing, independent and takes ownership of each task
19. Meticulous to detail
20. Thrive under pressure

KPIs:

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

Knowledge & Experience:

1. 3 years + in a similar role, ideally with financial services
2. Advanced knowledge of statistical analysis and machine learning
3. Highly Proficient in SAS programming language (SAS 9.4)
4. Proficient in other Data Science programming languages (e.g. Python, R)
5. Experience in Dataiku and understanding of MLOps (on Azure)
6. Experience in Financial Industry will be an advantage
7. Strong communication skills and ability to present findings to senior stakeholders (non-technical)