About Mozn
Mozn is a rapidly growing and leading data science & product development firm based in Riyadh with a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn is a trusted analytics partner for the largest government organizations in Saudi Arabia, as well as many large corporations and startups. We are in a critical stage of scaling the company to build institutional analytics knowledge within Mozn and Saudi Arabia. It is an exciting time to work in Saudi Arabia; through Vision 2030, the rate of social and industrial change is staggering.
About the role
We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn’s Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
What you'll do
- Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
- Communicate highly technical results and methods clearly to a wide variety of external clients.
- Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
- Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn’s solutions.
- Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
- Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
- Staying informed with new frameworks and technological advances to increase Mozn’s efficiency and productivity.
- Coordinate with internal teams to set up and execute solution development strategies.
- Overseeing a large technical area of work, defining project priorities, and technical solutions.
Qualifications
- B.S. or M.S. in Computer Science, Statistics, Mathematics, or similar quantitative fields.
- Relevant experience as a data scientist, or in similar fields that require developing ML/AI models. Over 3 years for B.S. degree and over 2 years for M.S.
- Programming experience over two years in software development, including object-oriented programming, and data manipulation using Python or other languages.
- Good understanding of statistics and probability, such as Hidden Markov Models, Probabilistic Graphical models, or Bayesian inference.
- Applied experience in machine learning, such as diagnosing models and modifying loss functions.
- Experience in deep learning frameworks, such as PyTorch.
- Expertise in Natural Language Understanding and/or Probabilistic Machine Learning applications.
Benefits
Why Mozn?
- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
- You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
- The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
- We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
Top Skills
What We Do
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.







