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Data Scientist- Customer Analytics
Job summary
A financial services company in Abu Dhabi is looking for a Data Scientist with strong SAS and programming skills. The role involves developing predictive models and collaborating across teams to solve business problems. Suitable candidates will have over 3 years of experience and a strong understanding of statistical analysis. Excellent communication skills are essential. An ownership mindset and ability to challenge status quo will be valued.
Qualifications
- 3+ years in a similar role, ideally in financial services.
- Advanced knowledge of statistical analysis and machine learning.
- Highly proficient in SAS programming (SAS 9.4).
- Proficient in other Data Science programming languages (Python, R).
- Experience with Dataiku and MLOps on Azure.
- Strong communication skills for presenting findings.
Responsibilities
- Collaborate with cross-functional teams to understand business requirements.
- Document all steps in the development process.
- Develop, test, implement, and maintain predictive models.
- Identify opportunities to innovatively use data.
Skills
- 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)
- Problem solving mindset, challenging the status quo
- Self-organizing, independent and takes ownership of each task
KPIs:
- 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)
* 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.