4.704
Technical-Jobs in Saudi-Arabien
Data Scientist
Ich möchte über neue Stellenangebote mit dem Stichwort „Technical“ benachrichtigt werden.
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Company profile
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Data Scientist
Sei unter den ersten Bewerbenden.
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Jobbeschreibung
JOB TITLE: Data Scientist
TERM: 12 months
CLIENT LOCATION: Jeddah Head Office, Al-Baghdadiyah Al-Gharbiyah, Jeddah 22233, Saudi Arabia
DIVISION: Banking & Technology
RELEVANT EXPERIENCE: 10years + in a similar role, ideally with financial services
MANDATORY REQUIREMENTS: Python, R, SAS programming language (SAS 9.4)
PURPOSE OF JOB:
Role of data scientist
TASKS
Core Responsibilities And Accountabilities
a. Non-technical
TERM: 12 months
CLIENT LOCATION: Jeddah Head Office, Al-Baghdadiyah Al-Gharbiyah, Jeddah 22233, Saudi Arabia
DIVISION: Banking & Technology
RELEVANT EXPERIENCE: 10years + in a similar role, ideally with financial services
MANDATORY REQUIREMENTS: Python, R, SAS programming language (SAS 9.4)
PURPOSE OF JOB:
Role of data scientist
TASKS
Core Responsibilities And Accountabilities
a. Non-technical
- Strong communication skills and ability to present findings to client stakeholders
- Experience in Financial Services, Banking & card payments Industry is a plus
- Collaborate with cross-functional teams to understand business requirements
- Document all steps in the development process
- 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)
- Develop, test, implement, and maintain predictive models
- Segmentation, customer lifetime value
- Identify opportunities to innovatively use data/ extract insights from complex data sets
- 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
- Time to deployment & value identified/realized/recommended from different use cases.
- 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
- 10years + 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)
- Strong communication skills and ability to present findings to senior stakeholders (non technical
* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.
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