Machine Learning Engineer jobs in United Arab Emirates
Data Scientist- Customer Analytics
Job summary
An established industry player is seeking a Data Scientist specializing in Customer Analytics to join their dynamic team in Abu Dhabi. This role demands a blend of technical expertise and strong communication skills, as you will be responsible for developing predictive models and collaborating with cross-functional teams. Ideal candidates will have advanced knowledge of statistical analysis, machine learning, and proficiency in SAS, Python, and R. If you are passionate about analytics and thrive under pressure, this opportunity offers a chance to make a significant impact in the financial sector.
Qualifications
- 3+ years in a similar role, ideally with financial services.
- Strong communication skills and ability to present findings.
Responsibilities
- Develop, test, implement, and maintain predictive models.
- Collaborate with cross-functional teams to understand business requirements.
Skills
- 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)
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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