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PayTech Group

Data Scientist- Customer Analytics

PayTech Group
United Arab Emirates · Full-time · Not Applicable
  • 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)
  • 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:

  • 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)

Key Skills

Ranked by relevance

sas machine learning python mlops
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Country Guide

United Arab Emirates

Tax-friendly regional tech hub

Posted
Feb 12, 2025
Type
Full-time
Level
Not Applicable
Location
Abu Dhabi
Company
PayTech Group

Industries

Business Consulting Services

Categories

Engineering Information Technology

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