Data Science Intern

Skills / Knowledge

• Build ML models for various tasks such as prediction, classification, and outlier detection.
• Build data pipelines and data integration flows with external systems.
• Understand technical data and software development cycles and apply them with best practices.
• Analyse datasets, draw insights from the data, and visualize the insights in dashboards.
• Communicate with stakeholders effectively.
  

Language Requirements

• English - (fluent written and verbal)

• Arabic - Mandatory

Data scientists at Onsor Technologies deal with various stationary and streaming data. They are responsible for building ML models, draw insights and patterns from data, build scalable data solutions and pipelines, and communicate requirements and data challenges with stakeholders effectively.

• Technical skills
• • Python and its libraries, SQL, data visualization tools (like Tableau, Power BI), and familiarity with ML libraries (Scikit-Learn, TensorFlow, PyTorch)

• Analytical Thinking
• • Ability to approach data challenges logically and solve problems systematically. Understand the best practices to solving data analysis and ML problems.

• Business Driven
• • Introduce ability to understand customer's business requirements and data, and translate them to insightful data and dashboards.

• Communication
• • Able to adapt to rapidly changing challenges, work with a team, and communicate effectively.