Mozn is a rapidly growing and leading data science and product development firm based in Riyadh, with a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. We are a trusted analytics partner for the largest government organizations in the region, as well as large corporations and startups. During this critical stage of scaling the company, we aim to build institutional analytics knowledge both within Mozn and across Saudi Arabia. This is an exciting time to work in Saudi Arabia, particularly with the transformative initiatives of Vision 2030.
We are searching for a strategic and inquisitive Data Scientist to join our Data Science team. In this role, you will work with cross-disciplinary teams to identify problems, specify them in mathematical and statistical terms, and collaborate with your team and external stakeholders to find solutions. Your insights will help teams and stakeholders improve their business/products and drive value.
Key Responsibilities:
- Collaborate with cross-functional teams from engineering, products, business, and marketing to deliver data-powered solutions.
- Clearly communicate highly technical results and methods to a diverse range of external clients.
- Analyze and extract insights from complex datasets through regression analysis, hypothesis testing, and machine learning techniques.
- Develop and apply new machine learning techniques to ensure modern and optimal approaches for Mozn's solutions.
- Develop data pipelines and ingestion engines for Natural Language Understanding and Risk Management, as well as contribute to existing engines.
- Engage with stakeholders to identify and define challenges and propose data-powered solutions.
- Plan and execute the development of solutions from data gathering to intelligent decision-making.
- Stay informed about new frameworks and technological advances to enhance Mozn's efficiency and productivity.
Qualifications:
- B.S. or M.S. in Computer Science, Statistics, Mathematics, or a similar quantitative field.
- Relevant experience as a data scientist or in similar fields requiring the development of ML/AI models (2+ years for B.S. degree; 1+ year for M.S.).
- 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 machine learning, such as conducting model experiments.
- Experience with version control systems (e.g., Git, GitHub).
- Proficiency in SQL or NoSQL is preferred.
- Familiarity with big data technologies, such as Spark.
- Experience with deep learning frameworks, such as 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:
At Mozn, you will appreciate the opportunity to work on impactful projects where users and clients trust us to solve mission-critical problems. We prioritize swift yet careful execution, with iterations happening on a scale of days to weeks, allowing you to focus on delivering your best work without excessive operational overhead. We also offer a culture of responsibility and trust, enabling you to take ownership of your work and make decisions that lead to the best results.
