We are searching for a strategic and inquisitive Data Scientist to join our Data Science team in Riyadh, Saudi Arabia. In this role, you will collaborate with cross-disciplinary teams to identify and specify problems in mathematical and statistical terms, scope projects, and provide data-powered solutions that drive value for stakeholders.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
About Mozn:
Mozn is a rapidly growing technology firm headquartered in Riyadh, Saudi Arabia, revolutionizing the fields of Artificial Intelligence and Data Science. The company is dedicated to realizing Vision 2030 and has a proven track record in supporting the tech ecosystem in Saudi Arabia and the GCC region. Mozn partners with large government organizations and corporations, providing AI-powered products and solutions both locally and globally, contributing to the growth and prosperity of digital humanity.
Key Responsibilities:
- Collaborate with engineering, product, business, and marketing teams to deliver data-powered solutions.
- Clearly communicate technical results and methods to a variety of external clients.
- Analyze and extract insights from complex datasets using regression analysis, hypothesis testing, and machine learning techniques.
- Develop and apply new machine learning techniques for Mozn's solutions, including data pipelines for Natural Language Understanding and Risk Management.
- Engage with stakeholders to define challenges and propose data-powered solutions.
- Stay informed about new frameworks and technological advances to enhance efficiency and productivity.
Qualifications:
- B.S. or M.S. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Relevant experience as a data scientist, with over 2 years required for a B.S. degree and over 1 year for an M.S. degree.
- Over two years of programming experience in object-oriented programming, including data manipulation using Python or other languages.
- Strong understanding of statistics and probability, including Bayesian methods and conditional probability.
- Applied experience in conducting model experiments with machine learning.
- Familiarity with version control systems (e.g., Git, GitHub).
- Experience with SQL or NoSQL databases is preferred.
- Familiarity with big data technologies, such as Spark, and deep learning frameworks like PyTorch.
- Expertise in Natural Language Understanding and/or Risk Management applications.
- Familiarity with containerization frameworks, such as Docker.
- Research experience in optimization and natural language processing (NLP).
Benefits:
- Competitive compensation and top-tier health insurance.
- A dynamic and fun workplace culture that fosters responsibility and trust.
- Opportunity to work alongside some of the greatest minds in AI.
- A commitment to embracing diversity and empowering individuals to be their best selves.
