Data Scientist

PayTech Group; Jeddah; On-site; USD 40,000 - 60,000; Full time

Job summary

A leading company in Banking & Technology is looking for a Data Scientist to join their team in Jeddah. The successful candidate will have over 10 years of experience, particularly in financial services, and possess advanced knowledge in statistical analysis and programming languages like Python and SAS. This role will involve developing predictive models, collaborating with various teams, and presenting insights to stakeholders.

Qualifications

• 10+ years in a similar role, ideally in financial services.
• Advanced knowledge of statistical analysis and machine learning.
• Strong communication skills to present findings to stakeholders.

Responsibilities

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

Skills

Python

R

SAS

Statistical Analysis

Machine Learning

Communication Skills

Job description

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 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
  
  
  

c. 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 & 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
  
  
  

Knowledge And Experience

• 10years + in a similar role, ideally with financial services
  
  
  

Skills

• 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