Data Scientist- Customer Analytics

PayTech Nexus Ltd; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

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

Statistical analysis

Machine learning

SAS programming

Python

R

Dataiku

MLOps

Strong communication skills

Job description

About the job 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:

• 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)