Data Scientist

TechnohandZ Global

Industry Type: Oil, Gas, Petroleum
Functional Area: IT Information Technology Industry Oil, Gas, Petroleum
Nationality: Any
Keywords: Advanced Analytics AI Artificial Intelligence Data Science Retail NBO Management

Job Description

TechnohandZ Global in Riyadh is looking for a Data Scientist to support advanced analytics projects. The role involves using AI and data science to provide insights, automate business actions, and improve decision-making across business areas.

Position: Data Scientist
Company: TechnohandZ Global
Location: Riyadh, Saudi Arabia
Industry: Oil, Gas, Petroleum
Experience: 1 to 20 years

Responsibilities

Provide support in utilizing advanced analytics to deliver insights.
Automate business actions, especially in Retail NBO management.
Enhance the speed and quality of decisions across various business verticals.
Coordinate AI, advanced analytics, and related 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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