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
- 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
b. Technical
Advanced knowledge of statistical analysis and machine learningHighly 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 modelsSegmentation, customer lifetime valueIdentify opportunities to innovatively use data / extract insights from complex data setsc. Cultural Fit
Owning the outcome (ownership)Being driven / passionate in analyticsProblem solving mindset, challenging the status quoSelf-organizing, independent and takes ownership of each taskMeticulous to detailThrive under pressureKPIs :
Time to deployment & value identified / realized / recommended from different use cases.Model accuracy (e.g., RMSE, MAE for regression tasks)Number of business problems addressedResponsiveness to business questions / problems / requestsNumber of departments / business users supported / adopted the solutionStakeholder 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 regulationsKnowledge And Experience
10years + in a similar role, ideally with financial servicesSkills
Advanced knowledge of statistical analysis and machine learningHighly 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#J-18808-Ljbffr