1 postes de
Research Associate à Émirats arabes unis
Data Scientist- Customer Analytics
Je veux recevoir les dernières offres d’emploi de Research Associate
Data Scientist- Customer Analytics
Project Management Institute
Abou Dabi
AED 60 000 - 100 000
Description du poste
- Project scope: Data Scientist Customer Analytics
- Number of resources: 1
- Term: 5 months
- Job location: Abu Dhabi & Offshore
- Experience requirement: 3 years +
- 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)
- 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
- 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.
- 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)
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.
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