Data Scientist- Customer Analytics

PayTech Nexus Ltd; Abu Dhabi; On-site; AED 120,000 - 160,000; Full time

Job summary

A prominent financial services company is seeking a Data Scientist specialized in Customer Analytics for a 5-month contract. The ideal candidate will possess advanced knowledge in statistical analysis and machine learning, particularly with proficiency in SAS and programming languages like Python and R. The role involves developing predictive models, extracting insights from complex datasets, and collaborating with various teams, ensuring effective communication and ownership of outcomes.

Qualifications

• 3+ years in a similar role, ideally with financial services.
• Experience with SAS 9.4 and proficiency in Python/R.
• Strong communication skills to present findings to stakeholders.

Responsibilities

• Document all steps in the data science development process.
• Develop, test, implement, and maintain predictive models.
• Collaborate with cross-functional teams to understand business requirements.

Skills

Statistical analysis

Machine learning

SAS programming

Python

R

Data analysis

Communication skills

Problem solving

Tools

Dataiku

MLOps (on Azure)

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)