Data Science Expert - KSA

DeepSource; Saudi Arabia; On-site; SAR 100,000 - 150,000; Full time

Job summary

An innovative tech firm in Saudi Arabia seeks a Data Scientist Architect to lead the design of advanced analytics solutions. The ideal candidate will create scalable data architectures, develop machine learning models, and collaborate closely with teams across the organization. This role requires a passion for data innovation and the ability to mentor junior data scientists, contributing to a data-driven culture.

Qualifications

• Proven experience in designing data architectures and pipelines.
• Extensive knowledge of machine learning algorithms and applications.
• Ability to translate complex data insights into actionable strategies.

Responsibilities

• Design and oversee the construction of robust data architectures and pipelines.
• Lead the development of machine learning algorithms and predictive models.
• Collaborate with data engineers and stakeholders for data integration.

Skills

Machine learning

Data architecture

Data analysis

Collaboration

Data governance

Job description

The Data Scientist Architect will take the lead in designing and implementing advanced analytics solutions that drive data-driven decision-making across the organization. This role involves creating scalable data architectures, developing machine learning models, and collaborating closely with cross-functional teams to integrate analytics initiatives into business operations. You will play a critical role in architecting data solutions that support innovative analytics at DeepSource Technologies.

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 other 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.