Data Scientist

Integrated Solutions Tawantech; Saudi Arabia; On-site; SAR 120,000 - 150,000; Full time

Job summary

A leading data solutions provider in Saudi Arabia is seeking an experienced Data Scientist to analyze complex datasets and develop machine learning models. The ideal candidate will possess strong analytical skills and experience in data visualization and integration. This role offers the opportunity to collaborate with cross-functional teams and play a critical role in strategic decisions.

Qualifications

• Experience with large and complex datasets.
• Strong foundation in statistical modeling and machine learning.
• Knowledge of LLM techniques and data workflows.

Responsibilities

• Analyze large datasets to derive insights.
• Develop and deploy statistical and machine learning models.
• Design visualizations to communicate findings.
• Collaborate with cross-functional teams.

Skills

Analytical mindset

SQL

Python

R

Statistical modeling

Machine learning

Data visualization

Feature selection

Data integration

Collaboration

Data accuracy

Tools

Power BI

Tableau

Looker

Dataiku (DSS)

Job description

Job Overview

We are seeking an experienced Data Scientist to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.

Key Responsibilities

• Analyze large, complex structured and unstructured datasets to derive actionable insights.
• Develop, validate, and deploy statistical and machine learning models.
• Use SQL, Python, or R to manipulate data and draw insights from large datasets.
• Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
• Implement parameter reduction techniques such as feature selection and PCA to optimize models.
• Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
• Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
• Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
• Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders.
• Ensure accuracy, consistency, and quality in data deliverables.