Data Scientist

PayTech Nexus Ltd; Jeddah; On-site; SAR 150,000 - 200,000; Full time

Job summary

A financial technology company is seeking an experienced Data Scientist in Jeddah, Saudi Arabia. The role focuses on advanced statistical analysis and machine learning, requiring over 10 years of experience, particularly in financial services. The ideal candidate will be proficient in SAS, Python, and R, with strong communication skills for presenting findings to stakeholders. This position offers an opportunity to work within a dynamic team, contributing to innovative data solutions.

Qualifications

• 10+ years in a similar role, ideally with financial services.
• Proficient in SAS, Python, and R for data science tasks.
• Strong communication skills to present findings to stakeholders.

Responsibilities

• Collaborate with teams to understand business requirements.
• Develop and maintain predictive models.
• Document all steps in the development process.

Skills

Statistical analysis

Machine learning

SAS programming

Python

R

Communication

Job description

DIVISION: Banking & Technology

RELEVANT EXPERIENCE: 10years + in a similar role, ideally with financial services

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 in other Data Science programming languages (e.g. Python, R)
• Develop, test, implement, and maintain predictive models
• Identify opportunities to innovatively use data/ extract insights from complex data sets

c. Cultural Fit

• Owning the outcome (ownership)
• Problem solving mindset, challenging the status quo
• Self-organizing, independent and takes ownership of each task

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 in other Data Science programming languages (e.g. Python, R)
• Strong communication skills and ability to present findings to senior stakeholders (non technical)