Data Science Expert - KSA

DeepSource Technologies; Saudi Arabia; On-site; SAR 299,000 - 413,000; Full time

Job summary

A leading technology firm in Saudi Arabia seeks a Data Scientist Architect to lead the design and implementation of advanced analytics solutions. This role focuses on building scalable data architectures and developing machine learning models, ensuring seamless integration of analytics initiatives into business operations. Ideal candidates should have a master's degree and over 7 years of relevant experience, including leadership in a technical capacity.

Qualifications

• 7+ years of experience in data science, machine learning, and analytics, with at least 3 years in a leadership role.
• Experience designing and implementing data architectures for large datasets.
• Ability to communicate complex concepts to a broad audience.

Responsibilities

• Lead the design and implementation of advanced analytics solutions.
• Build scalable data architectures and develop machine learning models.
• Collaborate with data engineers to integrate analytics into business operations.
• Conduct exploratory data analysis to uncover insights and trends.

Skills

Data architecture design

Machine learning

Data analysis

Python programming

SQL

Machine learning frameworks

Cloud environments

Communication skills

Analytical skills

Education

Master’s degree in Computer Science, Data Science, Statistics or related field

Tools

TensorFlow

PyTorch

Scikit-learn

PostgreSQL

AWS

Azure

Google Cloud

Job description

Job Overview

The Data Scientist Architect will lead the design and implementation of advanced analytics solutions that drive data‑driven decision‑making across DeepSource Technologies. The role involves building scalable data architectures, developing machine learning models, and working closely with cross‑functional teams to integrate analytics initiatives into business operations.

Key Responsibilities

• Design and oversee the construction of robust data architectures and pipelines to support extensive data analysis and modeling.
• Lead the development of machine learning algorithms and predictive models tailored to enhance business outcomes.
• Collaborate with data engineers and stakeholders to ensure seamless data integration and optimization of data processing workflows.
• Conduct exploratory data analysis to uncover insights and trends that inform strategic business initiatives.
• Translate complex analytical results into actionable insights for non‑technical stakeholders.
• Establish best practices for data governance, model validation, and testing in analytics.
• Stay updated with the latest advancements in data science, machine learning, and artificial intelligence to drive innovation.
• Mentor and guide junior data scientists and analytics teams to foster a culture of continuous learning and improvement.
• Document analytics processes, methodologies, and findings for internal reference and reporting purposes.

Qualifications

• Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 7+ years of experience in data science, machine learning, and analytics roles, with at least 3 years in an architectural or leadership position.
• Strong expertise in designing and implementing data architectures and workflows for large datasets.
• Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit‑learn).
• Strong programming skills in Python and experience with SQL and databases (e.g., PostgreSQL, NoSQL).
• Experience in cloud environments and tools (AWS, Azure, or Google Cloud).
• Ability to communicate complex concepts clearly to a broad audience.
• Strong analytical and problem‑solving skills with a focus on results.
• Published research papers or significant contributions to open‑source projects in the field of data science are a plus.