Data Scientist with Database Expertise

WUZZUF; Riyadh; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading data solutions company in Riyadh is seeking a skilled data scientist with 5-7 years of experience. You will analyze complex datasets, design predictive models, and manage databases to drive business insights. The ideal candidate possesses strong SQL skills, proficiency in Python or R, and experience with data visualization tools. This role offers an opportunity to collaborate with cross-functional teams and contribute to impactful data-driven decisions.

Qualifications

• 5–7 years of experience in data science, analytics, or related fields.
• Strong command of SQL and experience with database systems.
• Proficiency in Python, R, or similar languages for data analysis.

Responsibilities

• Analyze complex datasets to uncover trends and insights.
• Design and implement predictive models and machine learning algorithms.
• Develop and maintain robust data pipelines and ETL processes.

Skills

Data analysis

Machine learning

Database management

Data visualization

Collaboration

Education

Certifications in data science

Tools

Python

R

SQL

Power BI

Tableau

Job description

Analyze complex datasets to uncover trends, patterns, and insights that drive business decisions

Design and implement predictive models and machine learning algorithms

Develop and maintain robust data pipelines and ETL processes

Manage and optimize relational and non-relational databases for performance and scalability

Collaborate with cross-functional teams to integrate data science solutions into business workflows

Visualize data findings using dashboards and reporting tools

5–7 years of experience in data science, analytics, or related fields.

Strong command of SQL and experience with database systems such as PostgreSQL, MySQL, SQL Server, or NoSQL platforms

Proficiency in Python, R, or similar languages for data analysis and modeling

Experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib)

Exposure to Microsoft services such as Azure Data Factory, Azure SQL, or Power Platform

Solid understanding of statistical methods and machine learning techniques

Experience with big data technologies (e.g., Spark, Hadoop)

Familiarity with cloud-based data solutions and MLOps practices

Certifications in data science, database administration, or cloud platforms

Knowledge of data governance, privacy, and compliance standards