We are searching for a strategic and inquisitive Data Scientist to join the company's Data Science team. In this role, you will collaborate with cross-disciplinary teams to identify problems, specify them in mathematical and statistical terms, and scope projects in collaboration with your team and stakeholders. Your work will assist in uncovering insights that drive value for both internal and external 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
The company is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The company is committed to realizing Vision 2030 with a proven track record of supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. The company partners with some of the largest government organizations, corporations, and startups, working towards scaling AI-powered products and solutions locally and globally.
Key Responsibilities:
- Collaborate with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
- Clearly communicate technical results and methods to a diverse range 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 to enhance the company's solutions.
- Create data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management, and contribute to existing engines at the company.
- Engage with stakeholders to identify and define challenges and propose data-driven solutions.
- Plan and execute the development of solutions from data gathering to informed decision-making.
- Stay informed on new frameworks and technological advances to boost the company's efficiency and productivity.
Qualifications:
- B.S. or M.S. in Computer Science, Statistics, Mathematics, or other quantitative fields.
- 3-5 years of relevant experience in data science or similar fields involving ML/AI model development (over 2 years for B.S. holders and over 1 year for M.S. holders).
- More than 2 years of programming experience in object-oriented programming, particularly in data manipulation using Python or similar languages.
- Solid understanding of statistics and probability, including Bayesian methods and conditional probability.
- Applied experience in machine learning, including conducting model experiments.
- Familiarity with version control systems like Git or GitHub.
- Preferred experience in SQL or NoSQL programming, as well as knowledge of big data technologies, such as Spark.
- Experience with deep learning frameworks like PyTorch and expertise in Natural Language Understanding and/or Risk Management applications.
- Familiarity with containerization frameworks, such as Docker, and research experience in optimization and natural language processing (NLP).
Benefits:
- Be part of a high-growth organization in a dynamic environment.
- Enjoy a high level of responsibility and the freedom to contribute meaningfully.
- Competitive compensation, top-tier health insurance, and a supportive culture to focus on your strengths.
- Work in a fun and dynamic workplace with some of the top minds in AI.
- Embrace diversity and be empowered to be the best version of yourself.
