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 27th Tuesday
October 2026 
السعودية السعودية
Job-Id: 48171

Data Scientist

Visa
Industry Type
Air Conditioning, Refrigeration, HVAC
Functional Area
IT Information Technology Industry AirConditioning, Refrigeration, HVAC
Nationality
Any
Keywords
1 Software Engineering 2 Payment Systems Integration
Job Description

Visa is looking for a Data Scientist to join their team in Riyadh, Saudi Arabia. The role is within the Air Conditioning, Refrigeration, and HVAC industry and involves working in the IT Information Technology area.

Position
Data Scientist
Company
Visa
Location
Riyadh, Saudi Arabia
Industry
Air Conditioning, Refrigeration, HVAC
Experience
1 to 20 years
Show the original advert
Join our Global Commercial Payments Platform, a dynamic team working with multiple technology stacks, in Foster City, CA. We are seeking a highly motivated Engineer to join our Commercial Payments organization. The Visa Commercial Payments organization is dedicated to managing the global adoption of Visa's B2B Payment solutions.

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About the role: Data Scientist

General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.

Data Scientists analyze and interpret complex data to help organizations make informed decisions. They typically work in consulting firms, advisory services, and various industries that require data-driven insights.

What this role usually involves

  • Collect and clean large datasets from multiple sources
  • Develop statistical models and machine learning algorithms
  • Interpret data trends and provide actionable recommendations
  • Collaborate with clients and teams to understand business needs
  • Present findings through reports and visualizations
  • Continuously update knowledge of data science tools and techniques

Skills employers usually look for

  • Strong analytical and problem-solving abilities
  • Proficiency in programming languages like Python or R
  • Experience with data visualization tools
  • Knowledge of machine learning and statistical methods
  • Good communication and presentation skills
  • Ability to work collaboratively in teams

Usual qualifications

  • A degree in computer science, statistics, mathematics, or related field
  • Training or certification in data science or analytics
  • Familiarity with database management and data processing
  • Continuous learning in emerging data technologies

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