Data Scientist

Roles & Responsibilities 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)