Data Scientist- Customer Analytics

PayTech Nexus Ltd; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Data Scientist specialized in Customer Analytics. This role requires a strong analytical mindset and the ability to leverage statistical analysis and machine learning to extract insights from complex datasets. The ideal candidate will possess advanced proficiency in SAS and familiarity with other programming languages like Python and R. You'll collaborate with diverse teams to drive data-driven decisions and ensure stakeholder satisfaction through effective communication. Join this dynamic environment where your passion for analytics can truly make a difference in the financial sector!

Qualifications

• 3 years of experience in a similar role, ideally in financial services.
• Advanced knowledge of statistical analysis and machine learning.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements.
• Develop, test, implement, and maintain predictive models.

Skills

Statistical Analysis

Machine Learning

SAS Programming

Python

R

Dataiku

MLOps

Communication Skills

Problem-Solving

Job description

• Term: 5 months
• Job location: Abu Dhabi & Offshore
• Experience requirement: 3 years
• Project scope: Data Scientist Customer Analytics
• Number of resources: 1

Role:

Nontechnical

• 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

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:

• 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)