Data Scientist

PayTech Group
Abu Dhabi
AED 200,000 - 300,000
Job description

Bachelors in Computer Application (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

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:

  • 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 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)
  • 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:

  • 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)

Company Industry:

  • Banking
  • Broking

Department / Functional Area:

  • IT Software

Keywords:

  • Data Scientist - Customer Analytics
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