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 at a critical stage of scaling the company to build institutional analytics knowledge within Mozn and Saudi Arabia.
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It is an exciting time to work in Saudi Arabia; through Vision 2030, the rate of social and industrial change is staggering. 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 problems that need to be solved, specify the problems in mathematical and statistical terms, scope out projects/products in collaboration with your team and external stakeholders, and answer the identified questions. You will find insights that spur teams and stakeholders to improve their business/products and drive value for internal and external stakeholders.
As a Data Scientist, your daily workload might include:
- Collaborating with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
- Communicating highly technical results and methods clearly to a wide variety of external clients.
- Analyzing and extracting insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
- Developing and applying new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
- Developing data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management, as well as contributing to current engines at Mozn.
- Engaging with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
- Planning and executing solutions' development from data gathering to intelligent decision-making.
- Staying informed about new frameworks and technological advances to increase Mozn's efficiency and productivity.
Our target profile is candidates with:
- B.S. or M.S. in Computer Science, Statistics, Mathematics, or similar quantitative fields.
- Relevant experience as a Data Scientist or similar fields that require developing ML/AI models: over 2 years for a B.S. degree, and over 1 year for an M.S.
- Programming experience of over two years in object-oriented programming, including data manipulation using Python or other languages.
- Good 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, such as Git or GitHub.
- Programming experience 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).
We think you'll enjoy working at Mozn. Here's why:
- We selectively choose to undertake projects with impact; our users and clients trust us to solve mission-critical problems.
- We move quickly, but carefully and confidently. Iterations happen on the scale of days to weeks, and we invest considerable effort in minimizing the operational overhead to empower you to do your best work.
- You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a product are given the freedom to do what they think is best.
