Mozn Circular Logo

Senior Data Scientist

Mozn Riyadh, Saudi Arabia Posted: 17 May 2025

Financial

  • Estimate: $40k - $60k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional
  • Arabic: Professional

Position

Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The organization is working to realize Vision 2030 and has a proven track record in supporting and growing the tech ecosystem in Saudi Arabia and the Gulf Cooperation Council (GCC) region. As a trusted AI technology partner, Mozn serves some of the largest government organizations, corporations, and startups.

We are seeking a Senior Data Scientist to join our team. In this role, you will develop advanced Natural Language Processing (NLP) models, apply R&D skills to innovate new solutions, pretrain and fine-tune large language models, and collaborate with cross-functional teams. The ideal candidate will have a strong background in data science, specializing in NLP and machine learning, and possess experience in developing real-world solutions.

Responsibilities:

  • Develop and implement advanced Natural Language Processing (NLP) models.
  • Apply R&D skills to innovate and develop new solutions, creating rapid prototypes and validation.
  • Collaborate with cross-functional teams to implement models, monitor outcomes, and iterate on solutions.
  • Conduct in-depth data analysis and exploratory research to identify patterns, trends, and insights that enhance model performance and drive business impact.
  • Stay up-to-date with the latest advancements in NLP, machine learning, and related fields, seeking opportunities to enhance knowledge and skills.
  • Contribute to the development and refinement of best practices, coding standards, and documentation for data science projects.
  • Participate in strategic discussions, team meetings, and cross-functional collaborations to drive innovation and align data science initiatives with organizational goals.

Qualifications:

  • Bachelor’s or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proficiency in Arabic; knowledge of Modern Standard Arabic grammar and morphology is a plus.
  • Over 5 years of experience as a Data Scientist or in a similar role.
  • Solid understanding of machine learning, NLP, and deep learning techniques.
  • Proficiency in Python, with experience in NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers.
  • Strong problem-solving skills focused on product development.
  • Excellent written and verbal communication skills.
  • Proven experience in R&D, with a track record of developing and implementing real-world solutions.
  • Experience in pre-training, fine-tuning, and building large language models (LLMs) with demonstrable results.
  • Knowledge of deep learning frameworks such as PyTorch or TensorFlow.
  • Published papers in top-tier NLP or AI conferences are a plus.
  • Must embody humility, excellence, relevance, and a strong sense of ownership.

Benefits:

  • Opportunity to be part of a high-growth organization at the forefront of innovation in the Middle East.
  • Significant responsibility and trust, with the freedom to make decisions that drive results.
  • Competitive compensation and top-tier health insurance.
  • A fun and dynamic workplace alongside some of the greatest minds in AI.
  • An inclusive culture that embraces diversity, allowing individuals to be the best version of themselves.

Location: Riyadh, Saudi Arabia
Work Conditions: On-site, Full-time

Apply now

Jobs you might like   View all jobs

About Mozn

Mozn is a Saudi technology company committed to advancing digital humanity through the harnessing of artificial intelligence to build enterprise AI-powered products – FOCAL, the end-to-end Risk and Compliance platform and OSOS, the leading Arabic Gen AI platform – along with tailored AI solutions designed to meet the unique needs of enterprises across various sectors.