Mozn is a rapidly growing and leading data science and product development firm based in Riyadh. We have a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn serves as a trusted analytics partner for the largest government organizations and many large corporations and startups in the region. As we are in a crucial stage of scaling our company, we are building institutional analytics knowledge both within Mozn and across Saudi Arabia. This is an exciting time to work in the region, especially with the ongoing social and industrial changes driven by Vision 2030.
As a Software Engineer at Mozn, you will tackle problems of national scale and importance. The projects you work on often form the foundation for data science functions within client organizations. This position presents a unique opportunity to build systems from the ground up at a massive scale, impacting the lives of millions of citizens.
What You'll Do:
- Contribute to technical discussions to gather requirements and develop product features or solutions while maintaining best practices.
- Research and document proposed solutions.
- Build, maintain, and debug web applications and tooling.
- Write unit and integration tests.
- Develop processes for automating, testing, and deploying your work.
- Collaborate with Project Management, Product Management, and other professionals within your team and across the organization.
Qualifications:
- MSc/BSc in Computer Science or related fields.
- 3+ years of experience in a similar role is preferred; professional certifications are a plus.
- Solid understanding and experience with Python and C programming languages.
- Experience with software revision control tools such as Git.
- Ability to explain complex system issues clearly.
- Proficient understanding of distributed computing principles.
- Experience with integration of data from multiple data sources.
- Familiarity with NoSQL databases such as HBase, Cassandra, and MongoDB.
- Ability to collaborate with a large interdisciplinary team on modeling complex engineering problems within an optimization framework.
Benefits:
- Engaging projects that have a significant impact.
- Quick yet careful project iterations, typically ranging from days to weeks, with a focus on minimizing operational overhead.
- A high level of responsibility and trust in your ability to determine the best course of action for your projects.
