KSA
Senior Data Scientist
Quant Data & Analytics Company
- Industry Type
- Hotels, Hospitality
- Functional Area
- IT, Digital Transformation Industry Hotels, Hospitality
- Nationality
- Any
- Keywords
- SaaS Solutions
Job Description
Quant Data & Analytics Company in Riyadh, Saudi Arabia, is seeking a Senior Data Scientist to contribute to digital transformation efforts in the hotels and hospitality industry. The role involves working with data science and artificial intelligence SaaS products and solutions.
- Position
- Senior Data Scientist
- Company
- Quant Data & Analytics Company
- Location
- Riyadh, Saudi Arabia
- Industry
- Hotels, Hospitality
- Experience
- 1 to 20 years
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About the role: Senior 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.
Senior Data Scientists analyze complex data to help hotels and hospitality businesses improve their services and operations. They work in offices or remotely, collaborating with different teams to make data-driven decisions that enhance customer experience and business performance.
What this role usually involves
- Develop advanced data models to predict customer behavior and trends
- Analyze large datasets to identify opportunities for business growth
- Collaborate with marketing and operations teams to implement data insights
- Lead data science projects and mentor junior team members
- Present findings and recommendations to management
- Ensure data quality and integrity in all analyses
Skills employers usually look for
- Strong knowledge of statistical analysis and machine learning techniques
- Proficiency in programming languages like Python or R
- Ability to work with large and complex datasets
- Good communication skills to explain technical information clearly
- Problem-solving skills to address business challenges
- Experience with data visualization tools
Usual qualifications
- A degree in computer science, statistics, mathematics, or a related field
- Advanced training or certification in data science or analytics
- Experience with data analysis and modeling techniques
- Knowledge of the hospitality industry is beneficial but not always required
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